From 8ac1b694732f6f79dc7b5f9399d9d64915e8b342 Mon Sep 17 00:00:00 2001 From: stadmill Date: Wed, 6 Sep 2023 23:08:10 +1000 Subject: [PATCH 01/20] Added Tofts model functionality --- docs/examples/tissue/plot_dummy.py | 28 -- docs/examples/tissue/plot_tofts.py | 57 ++++ .../examples/aif/plot_aif_parker.ipynb | 249 +++++++++++------- src/osipi/__init__.py | 4 + src/osipi/_helpers.py | 36 +++ src/osipi/_indicator_kinetic_model.py | 74 ++++++ tests/test_tofts.py | 17 ++ 7 files changed, 335 insertions(+), 130 deletions(-) delete mode 100644 docs/examples/tissue/plot_dummy.py create mode 100644 docs/examples/tissue/plot_tofts.py create mode 100644 src/osipi/_helpers.py create mode 100644 src/osipi/_indicator_kinetic_model.py create mode 100644 tests/test_tofts.py diff --git a/docs/examples/tissue/plot_dummy.py b/docs/examples/tissue/plot_dummy.py deleted file mode 100644 index 6cde113..0000000 --- a/docs/examples/tissue/plot_dummy.py +++ /dev/null @@ -1,28 +0,0 @@ -""" -==================== -Dummy script as demo -==================== - -Dummy script to show the examples structure. -""" - -import numpy as np -import matplotlib.pyplot as plt -import osipi - -# %% -# Generate synthetic AIF with default settings and plot the result. - -# Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes. -t = np.arange(0, 6*60, 0.5) - -# Create an AIF with default settings -ca = osipi.aif_parker(t) - -# Plot the AIF over the full range -plt.plot(t, ca) -plt.show() - - -# Choose the last image as a thumbnail for the gallery -# sphinx_gallery_thumbnail_number = -1 diff --git a/docs/examples/tissue/plot_tofts.py b/docs/examples/tissue/plot_tofts.py new file mode 100644 index 0000000..30e1915 --- /dev/null +++ b/docs/examples/tissue/plot_tofts.py @@ -0,0 +1,57 @@ +""" +==================== +The Tofts model +==================== + +Simulating tissue concentrations from Tofts model with different settings. +""" + +# %% +# Import necessary packages +import numpy as np +import itertools +import matplotlib.pyplot as plt +import osipi + +# %% +# Generate Parker AIF with default settings. + +# Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes. +t = np.arange(0, 6*60, 0.5) + +# Create an AIF with default settings +ca = osipi.aif_parker(t) + +# %% +# Plot the tissue concentrations for different transfer rate constants +Ktrans = [0.05, 0.2, 0.6] # in units of 1/min +ve = 0.2 # volume fraction between 0 and 1 +fig, axs = plt.subplots(1, 3) + +for i, ax in enumerate(axs.flatten()): + ct = osipi.tofts(t, ca, Ktrans[i], ve) + ax.plot(t, ct) + ax.set_title(f'Ktrans = {Ktrans[i]} /min') + ax.set_xlabel('Time (sec)') + ax.set_ylabel('Tissue concentration (mM)') +plt.tight_layout() +plt.show() + +# %% +# Comparing different discretization methods +fig, axs = plt.subplots(1, 3) + +for i, ax in enumerate(axs.flatten()): + ct_conv = osipi.tofts(t, ca, Ktrans[i], ve) # Defaults to Convolution + ct_exp_conv = osipi.tofts(t, ca, Ktrans[i], ve, discretization_method='exp_conv') + l1, = ax.plot(t, ct_conv, 'b-') + l2, = ax.plot(t, ct_exp_conv, 'm-') + ax.set_title(f'Ktrans = {Ktrans[i]} /min') + ax.set_xlabel('Time (sec)') + ax.set_ylabel('Tissue concentration (mM)') +fig.legend((l1, l2), ('Convolution','Exponential Convolution')) +plt.tight_layout() +plt.show() + +# Choose the last image as a thumbnail for the gallery +# sphinx_gallery_thumbnail_number = -1 diff --git a/docs/source/generated/examples/aif/plot_aif_parker.ipynb b/docs/source/generated/examples/aif/plot_aif_parker.ipynb index a08fdb1..100448d 100644 --- a/docs/source/generated/examples/aif/plot_aif_parker.ipynb +++ b/docs/source/generated/examples/aif/plot_aif_parker.ipynb @@ -1,104 +1,149 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n# The Parker AIF - a play with variables\n\nSimulating a Parker AIF with different settings. \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Import necessary packages\n\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import numpy as np\nimport matplotlib.pyplot as plt\nimport osipi" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Generate synthetic AIF with default settings and plot the result.\n\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes.\nt = np.arange(0, 6*60, 0.5)\n\n# Create an AIF with default settings\nca = osipi.aif_parker(t)\n\n# Plot the AIF over the full range\nplt.plot(t, ca, 'r-')\nplt.plot(t, 0*t, 'k-')\nplt.xlabel('Time (sec)')\nplt.ylabel('Plasma concentration (mM)')\nplt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The bolus arrival time (BAT) defaults to 30s. What happens if we change it? Let's try, by changing it in steps of 30s:\n\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "ca = osipi.aif_parker(t, BAT=0)\nplt.plot(t, ca, 'b-', label='BAT = 0s')\nca = osipi.aif_parker(t, BAT=30)\nplt.plot(t, ca, 'r-', label='BAT = 30s')\nca = osipi.aif_parker(t, BAT=60)\nplt.plot(t, ca, 'g-', label='BAT = 60s')\nca = osipi.aif_parker(t, BAT=90)\nplt.plot(t, ca, 'm-', label='BAT = 90s')\nplt.xlabel('Time (sec)')\nplt.ylabel('Plasma concentration (mM)')\nplt.legend()\nplt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "the dose defaults to 0.1- what happens if we change it too?\n\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "ca = osipi.aif_parker(t, BAT=0, dose=0.05)\nplt.plot(t, ca, 'b-', label='BAT = 0s, dose = 0.05')\nca = osipi.aif_parker(t, BAT=30, dose=0.1)\nplt.plot(t, ca, 'r-', label='BAT = 30s, dose = 0.1')\nca = osipi.aif_parker(t, BAT=60, dose=0.2)\nplt.plot(t, ca, 'g-', label='BAT = 60s, dose = 0.2')\nca = osipi.aif_parker(t, BAT=90, dose=0.3)\nplt.plot(t, ca, 'm-', label='BAT = 90s, dose = 0.3')\nplt.xlabel('Time (sec)')\nplt.ylabel('Plasma concentration (mM)')\nplt.legend()\nplt.show()\n\n# Choose the last image as a thumbnail for the gallery\n# sphinx_gallery_thumbnail_number = -1" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.10" - } + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "# The Parker AIF - a play with variables\n", + "\n", + "Simulating a Parker AIF with different settings. \n" + ] }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Import necessary packages\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import osipi" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Generate synthetic AIF with default settings and plot the result.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes.\n", + "t = np.arange(0, 6*60, 0.5)\n", + "\n", + "# Create an AIF with default settings\n", + "ca = osipi.aif_parker(t)\n", + "\n", + "# Plot the AIF over the full range\n", + "plt.plot(t, ca, 'r-')\n", + "plt.plot(t, 0*t, 'k-')\n", + "plt.xlabel('Time (sec)')\n", + "plt.ylabel('Plasma concentration (mM)')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The bolus arrival time (BAT) defaults to 30s. What happens if we change it? Let's try, by changing it in steps of 30s:\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "ca = osipi.aif_parker(t, BAT=0)\n", + "plt.plot(t, ca, 'b-', label='BAT = 0s')\n", + "ca = osipi.aif_parker(t, BAT=30)\n", + "plt.plot(t, ca, 'r-', label='BAT = 30s')\n", + "ca = osipi.aif_parker(t, BAT=60)\n", + "plt.plot(t, ca, 'g-', label='BAT = 60s')\n", + "ca = osipi.aif_parker(t, BAT=90)\n", + "plt.plot(t, ca, 'm-', label='BAT = 90s')\n", + "plt.xlabel('Time (sec)')\n", + "plt.ylabel('Plasma concentration (mM)')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "the dose defaults to 0.1- what happens if we change it too?\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "ca = osipi.aif_parker(t, BAT=0, dose=0.05)\n", + "plt.plot(t, ca, 'b-', label='BAT = 0s, dose = 0.05')\n", + "ca = osipi.aif_parker(t, BAT=30, dose=0.1)\n", + "plt.plot(t, ca, 'r-', label='BAT = 30s, dose = 0.1')\n", + "ca = osipi.aif_parker(t, BAT=60, dose=0.2)\n", + "plt.plot(t, ca, 'g-', label='BAT = 60s, dose = 0.2')\n", + "ca = osipi.aif_parker(t, BAT=90, dose=0.3)\n", + "plt.plot(t, ca, 'm-', label='BAT = 90s, dose = 0.3')\n", + "plt.xlabel('Time (sec)')\n", + "plt.ylabel('Plasma concentration (mM)')\n", + "plt.legend()\n", + "plt.show()\n", + "\n", + "# Choose the last image as a thumbnail for the gallery\n", + "# sphinx_gallery_thumbnail_number = -1" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/src/osipi/__init__.py b/src/osipi/__init__.py index 90370f1..2a1747e 100644 --- a/src/osipi/__init__.py +++ b/src/osipi/__init__.py @@ -4,3 +4,7 @@ aif_georgiou, aif_weinmann, ) + +from ._indicator_kinetic_model import ( + tofts +) diff --git a/src/osipi/_helpers.py b/src/osipi/_helpers.py new file mode 100644 index 0000000..c091858 --- /dev/null +++ b/src/osipi/_helpers.py @@ -0,0 +1,36 @@ +import numpy as np + + +def exp_conv(T:float, t:np.ndarray, a:np.ndarray)->np.ndarray: + """Exponential convolution operation of (1/T)exp(-t/T) with a + + Args: + T (float): exponent + t (np.ndarray): array of time points in units of sec. [OSIPI code Q.GE1.004] + a (np.ndarray): array to be convolved with time exponential + + Returns: + np.ndarray: convolved array + + """ + if T == 0: + return (a) + + n = len(t) + f = np.zeros((n,)) + + x = (t[1:n - 1] - t[0:n - 2]) / T + da = (a[1:n - 1] - a[0:n - 2]) / x + + E = np.exp(-x) + E0 = 1 - E + E1 = x - E0 + + add = a[0:n - 2] * E0 + da * E1 + + for i in range(0, n - 2): + f[i + 1] = E[i] * f[i] + add[i] + + f[n - 1] = f[n - 2] + return (f) + diff --git a/src/osipi/_indicator_kinetic_model.py b/src/osipi/_indicator_kinetic_model.py new file mode 100644 index 0000000..4ff1677 --- /dev/null +++ b/src/osipi/_indicator_kinetic_model.py @@ -0,0 +1,74 @@ +import numpy as np +from scipy.interpolate import interp1d +from _helpers import exp_conv + + +def tofts(t:np.ndarray, ca:np.ndarray, Ktrans:float, ve:float, t_offset:float=0.0, discretization_method:str="conv")->np.ndarray: + """Tofts model as defined by zzz et al (year) + + Args: + t (np.ndarray): array of time points in units of sec. [OSIPI code Q.GE1.004] + ca (np.ndarray): Arterial concentrations in mM for each time point in t. [OSIPI code Q.IC1.001] + Ktrans (float): Volume transfer constant in units of 1/min. [OSIPI code Q.PH1.008] + ve (float): Relative volume fraction of the extracellular extravascular compartment (e). [OSIPI code Q.PH1.001.[e]] + t_offset (float, optional): Difference in onset time between tissue curve and aif in units of sec. [OSIPI code ????] + discretization_method (str, optional): Defines the discretization method used in the model definition. [OSIPI code ????] + + Returns: + np.ndarray: Tissue concentrations in mM for each time point in t. + + See Also: + 'extended_tofts' + + References: + - Lexicon url: + - Lexicon code: M.IC1.004 + - OSIPI name: Tofts Model + - Adapted from contributions by: LEK_UoEdinburgh_UK, ST_USyd_AUS + + Example: + + Create an array of time points covering 6min in steps of 1sec, calculate the Parker AIF at these time points and plot the results. + + Import packages: + + >>> import matplotlib.pyplot as plt + >>> import osipi + + Calculate AIF + + >>> t = np.arange(0, 6*60, 0.1) + >>> ca = osipi.aif_parker(t) + + Calculate tissue concentrations and plot + >>> Ktrans = 0.6 # in units of 1/min + >>> ve = 0.2 # takes values from 0 to 1 + >>> ct = osipi._indicator_kinetic_model.tofts(t, ca, Ktrans, ve) + >>> plt.plot(t, ca, 'r', t, ct, 'b') + """ + + # Convert from OSIPI units (sec) to mins + t_min = t/60 + t_off_min = t_offset/60 + + # Shift the AIF by the toff (if not zero) + if t_off_min != 0: + f = interp1d(t, ca, kind='linear', bounds_error=False, fill_value=0) + ca = (t_min > t_off_min) * f(t_min - t_off_min) + + if discretization_method is 'conv': # Use convolution + # Calculate the impulse response function + imp = Ktrans * np.exp(-1 * Ktrans * t / ve) + + # Convolve impulse response with AIF + convolution = np.convolve(ca, imp) + + # Discard unwanted points and make sure time spacing is correct + ct = convolution[0:len(t_min)] * t_min[1] + + elif discretization_method is 'exp_conv': # Use exponential convolution + Tc = ve / Ktrans + ct = ve * exp_conv(Tc, t_min, ca) + + return ct + diff --git a/tests/test_tofts.py b/tests/test_tofts.py new file mode 100644 index 0000000..30a96a7 --- /dev/null +++ b/tests/test_tofts.py @@ -0,0 +1,17 @@ +import numpy as np +import osipi + +def test_tofts(): + + t = np.arange(0, 6*60, 1) + ca = osipi.aif_parker(t) + ct = osipi.tofts(t, ca, Ktrans=0.6, ve=0.2) + + # Test that the peak tissue concentration is less than the peak AIF + assert np.round(np.max(ct)) < np.round(np.max(ca)) + +if __name__ == "__main__": + + test_tofts() + + print('All Tofts model tests passed!!') \ No newline at end of file From d12c0178c96a645930a551128837d2ebc10ae935 Mon Sep 17 00:00:00 2001 From: stadmill Date: Wed, 20 Sep 2023 14:17:53 +1000 Subject: [PATCH 02/20] Added Tofts model functionality --- docs/examples/tissue/plot_tofts.py | 43 +++-- .../backreferences/osipi.aif_parker.examples | 52 +----- .../backreferences/osipi.tofts.examples | 39 +++++ docs/source/generated/examples/index.rst | 8 +- .../tissue/images/sphx_glr_plot_tofts_001.png | Bin 0 -> 35530 bytes .../tissue/images/sphx_glr_plot_tofts_002.png | Bin 0 -> 31198 bytes .../thumb/sphx_glr_plot_tofts_thumb.png | Bin 0 -> 22429 bytes .../generated/examples/tissue/index.rst | 10 +- .../examples/tissue/plot_tofts.ipynb | 104 +++++++++++ .../generated/examples/tissue/plot_tofts.py | 52 ++++++ .../examples/tissue/plot_tofts.py.md5 | 1 + .../generated/examples/tissue/plot_tofts.rst | 161 ++++++++++++++++++ .../examples/tissue/plot_tofts_codeobj.pickle | Bin 0 -> 1342 bytes .../examples/tissue/sg_execution_times.rst | 4 +- docs/source/reference/general.convolution.rst | 19 +++ .../reference/models.concentration.tissue.rst | 14 +- requirements.txt | 2 + src/osipi/__init__.py | 6 +- src/osipi/{_helpers.py => _convolution.py} | 12 +- ..._indicator_kinetic_model.py => _tissue.py} | 22 +-- tests/test_tofts.py | 5 +- 21 files changed, 449 insertions(+), 105 deletions(-) create mode 100644 docs/source/generated/backreferences/osipi.tofts.examples create mode 100644 docs/source/generated/examples/tissue/images/sphx_glr_plot_tofts_001.png create mode 100644 docs/source/generated/examples/tissue/images/sphx_glr_plot_tofts_002.png create mode 100644 docs/source/generated/examples/tissue/images/thumb/sphx_glr_plot_tofts_thumb.png create mode 100644 docs/source/generated/examples/tissue/plot_tofts.ipynb create mode 100644 docs/source/generated/examples/tissue/plot_tofts.py create mode 100644 docs/source/generated/examples/tissue/plot_tofts.py.md5 create mode 100644 docs/source/generated/examples/tissue/plot_tofts.rst create mode 100644 docs/source/generated/examples/tissue/plot_tofts_codeobj.pickle create mode 100644 docs/source/reference/general.convolution.rst rename src/osipi/{_helpers.py => _convolution.py} (71%) rename src/osipi/{_indicator_kinetic_model.py => _tissue.py} (84%) diff --git a/docs/examples/tissue/plot_tofts.py b/docs/examples/tissue/plot_tofts.py index 30e1915..3bc536c 100644 --- a/docs/examples/tissue/plot_tofts.py +++ b/docs/examples/tissue/plot_tofts.py @@ -9,7 +9,6 @@ # %% # Import necessary packages import numpy as np -import itertools import matplotlib.pyplot as plt import osipi @@ -23,34 +22,30 @@ ca = osipi.aif_parker(t) # %% -# Plot the tissue concentrations for different transfer rate constants +# Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 different transfer rate constants of 0.05, 0.2 and 0.6 /min Ktrans = [0.05, 0.2, 0.6] # in units of 1/min ve = 0.2 # volume fraction between 0 and 1 -fig, axs = plt.subplots(1, 3) - -for i, ax in enumerate(axs.flatten()): - ct = osipi.tofts(t, ca, Ktrans[i], ve) - ax.plot(t, ct) - ax.set_title(f'Ktrans = {Ktrans[i]} /min') - ax.set_xlabel('Time (sec)') - ax.set_ylabel('Tissue concentration (mM)') -plt.tight_layout() +ct = osipi.tofts(t, ca, Ktrans[0], ve) +plt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min') +ct = osipi.tofts(t, ca, Ktrans[1], ve) +plt.plot(t, ct, 'r-', label=f'Ktrans = {Ktrans[1]} /min') +ct = osipi.tofts(t, ca, Ktrans[2], ve) +plt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[2]} /min') +plt.xlabel('Time (sec)') +plt.ylabel('Tissue concentration (mM)') +plt.legend() plt.show() # %% -# Comparing different discretization methods -fig, axs = plt.subplots(1, 3) - -for i, ax in enumerate(axs.flatten()): - ct_conv = osipi.tofts(t, ca, Ktrans[i], ve) # Defaults to Convolution - ct_exp_conv = osipi.tofts(t, ca, Ktrans[i], ve, discretization_method='exp_conv') - l1, = ax.plot(t, ct_conv, 'b-') - l2, = ax.plot(t, ct_exp_conv, 'm-') - ax.set_title(f'Ktrans = {Ktrans[i]} /min') - ax.set_xlabel('Time (sec)') - ax.set_ylabel('Tissue concentration (mM)') -fig.legend((l1, l2), ('Convolution','Exponential Convolution')) -plt.tight_layout() +# Comparing different discretization methods for an extracellular volume fraction of 0.2 and Ktrans of 0.2 /min +ct = osipi.tofts(t, ca, Ktrans[1], ve) # Defaults to Convolution +plt.plot(t, ct, 'b-', label='Convolution') +ct = osipi.tofts(t, ca, Ktrans[1], ve, discretization_method='exp_conv') +plt.plot(t, ct, 'r-', label='Exponential Convolution') +plt.title(f'Ktrans = {Ktrans[1]} /min') +plt.xlabel('Time (sec)') +plt.ylabel('Tissue concentration (mM)') +plt.legend() plt.show() # Choose the last image as a thumbnail for the gallery diff --git a/docs/source/generated/backreferences/osipi.aif_parker.examples b/docs/source/generated/backreferences/osipi.aif_parker.examples index c88cde9..793746a 100644 --- a/docs/source/generated/backreferences/osipi.aif_parker.examples +++ b/docs/source/generated/backreferences/osipi.aif_parker.examples @@ -14,66 +14,24 @@ Examples using ``osipi.aif_parker`` .. raw:: html -
+
.. only:: html - .. image:: /generated/examples/aif/images/thumb/sphx_glr_plot_aif_parker_thumb.png + .. image:: /generated/examples/tissue/images/thumb/sphx_glr_plot_tofts_thumb.png :alt: - :ref:`sphx_glr_generated_examples_aif_plot_aif_parker.py` + :ref:`sphx_glr_generated_examples_tissue_plot_tofts.py` .. raw:: html -
The Parker AIF - a play with variables
+
The Tofts model
.. only:: not html - * :ref:`sphx_glr_generated_examples_aif_plot_aif_parker.py` - -.. raw:: html - -
- -.. only:: html - - .. image:: /generated/examples/aif/images/thumb/sphx_glr_plot_dummy_thumb.png - :alt: - - :ref:`sphx_glr_generated_examples_aif_plot_dummy.py` - -.. raw:: html - -
A dummy script
-
- - -.. only:: not html - - * :ref:`sphx_glr_generated_examples_aif_plot_dummy.py` - -.. raw:: html - -
- -.. only:: html - - .. image:: /generated/examples/tissue/images/thumb/sphx_glr_plot_dummy_thumb.png - :alt: - - :ref:`sphx_glr_generated_examples_tissue_plot_dummy.py` - -.. raw:: html - -
Dummy script as demo
-
- - -.. only:: not html - - * :ref:`sphx_glr_generated_examples_tissue_plot_dummy.py` + * :ref:`sphx_glr_generated_examples_tissue_plot_tofts.py` .. raw:: html diff --git a/docs/source/generated/backreferences/osipi.tofts.examples b/docs/source/generated/backreferences/osipi.tofts.examples new file mode 100644 index 0000000..307717e --- /dev/null +++ b/docs/source/generated/backreferences/osipi.tofts.examples @@ -0,0 +1,39 @@ + + +Examples using ``osipi.tofts`` +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + +.. start-sphx-glr-thumbnails + + +.. raw:: html + +
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /generated/examples/tissue/images/thumb/sphx_glr_plot_tofts_thumb.png + :alt: + + :ref:`sphx_glr_generated_examples_tissue_plot_tofts.py` + +.. raw:: html + +
The Tofts model
+
+ + +.. only:: not html + + * :ref:`sphx_glr_generated_examples_tissue_plot_tofts.py` + +.. raw:: html + +
+ diff --git a/docs/source/generated/examples/index.rst b/docs/source/generated/examples/index.rst index 466f40a..e805eb2 100644 --- a/docs/source/generated/examples/index.rst +++ b/docs/source/generated/examples/index.rst @@ -85,18 +85,18 @@ Tissue concentrations .. raw:: html -
+
.. only:: html - .. image:: /generated/examples/tissue/images/thumb/sphx_glr_plot_dummy_thumb.png + .. image:: /generated/examples/tissue/images/thumb/sphx_glr_plot_tofts_thumb.png :alt: - :ref:`sphx_glr_generated_examples_tissue_plot_dummy.py` + :ref:`sphx_glr_generated_examples_tissue_plot_tofts.py` .. raw:: html -
Dummy script as demo
+
The Tofts model
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.. only:: html - .. image:: /generated/examples/tissue/images/thumb/sphx_glr_plot_dummy_thumb.png + .. image:: /generated/examples/tissue/images/thumb/sphx_glr_plot_tofts_thumb.png :alt: - :ref:`sphx_glr_generated_examples_tissue_plot_dummy.py` + :ref:`sphx_glr_generated_examples_tissue_plot_tofts.py` .. raw:: html -
Dummy script as demo
+
The Tofts model
@@ -40,5 +40,5 @@ Tissue concentrations .. toctree:: :hidden: - /generated/examples/tissue/plot_dummy + /generated/examples/tissue/plot_tofts diff --git a/docs/source/generated/examples/tissue/plot_tofts.ipynb b/docs/source/generated/examples/tissue/plot_tofts.ipynb new file mode 100644 index 0000000..ee59d1f --- /dev/null +++ b/docs/source/generated/examples/tissue/plot_tofts.ipynb @@ -0,0 +1,104 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# The Tofts model\n\nSimulating tissue concentrations from Tofts model with different settings.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Import necessary packages\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import numpy as np\nimport matplotlib.pyplot as plt\nimport osipi" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Generate Parker AIF with default settings.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes.\nt = np.arange(0, 6*60, 0.5)\n\n# Create an AIF with default settings\nca = osipi.aif_parker(t)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 different transfer rate constants of 0.05, 0.2 and 0.6 /min\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "Ktrans = [0.05, 0.2, 0.6] # in units of 1/min\nve = 0.2 # volume fraction between 0 and 1\nct = osipi.tofts(t, ca, Ktrans[0], ve)\nplt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min')\nct = osipi.tofts(t, ca, Ktrans[1], ve)\nplt.plot(t, ct, 'r-', label=f'Ktrans = {Ktrans[1]} /min')\nct = osipi.tofts(t, ca, Ktrans[2], ve)\nplt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[2]} /min')\nplt.xlabel('Time (sec)')\nplt.ylabel('Tissue concentration (mM)')\nplt.legend()\nplt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Comparing different discretization methods for an extracellular volume fraction of 0.2 and Ktrans of 0.2 /min\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "ct = osipi.tofts(t, ca, Ktrans[1], ve) # Defaults to Convolution\nplt.plot(t, ct, 'b-', label='Convolution')\nct = osipi.tofts(t, ca, Ktrans[1], ve, discretization_method='exp_conv')\nplt.plot(t, ct, 'r-', label='Exponential Convolution')\nplt.title(f'Ktrans = {Ktrans[1]} /min')\nplt.xlabel('Time (sec)')\nplt.ylabel('Tissue concentration (mM)')\nplt.legend()\nplt.show()\n\n# Choose the last image as a thumbnail for the gallery\n# sphinx_gallery_thumbnail_number = -1" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/source/generated/examples/tissue/plot_tofts.py b/docs/source/generated/examples/tissue/plot_tofts.py new file mode 100644 index 0000000..3bc536c --- /dev/null +++ b/docs/source/generated/examples/tissue/plot_tofts.py @@ -0,0 +1,52 @@ +""" +==================== +The Tofts model +==================== + +Simulating tissue concentrations from Tofts model with different settings. +""" + +# %% +# Import necessary packages +import numpy as np +import matplotlib.pyplot as plt +import osipi + +# %% +# Generate Parker AIF with default settings. + +# Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes. +t = np.arange(0, 6*60, 0.5) + +# Create an AIF with default settings +ca = osipi.aif_parker(t) + +# %% +# Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 different transfer rate constants of 0.05, 0.2 and 0.6 /min +Ktrans = [0.05, 0.2, 0.6] # in units of 1/min +ve = 0.2 # volume fraction between 0 and 1 +ct = osipi.tofts(t, ca, Ktrans[0], ve) +plt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min') +ct = osipi.tofts(t, ca, Ktrans[1], ve) +plt.plot(t, ct, 'r-', label=f'Ktrans = {Ktrans[1]} /min') +ct = osipi.tofts(t, ca, Ktrans[2], ve) +plt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[2]} /min') +plt.xlabel('Time (sec)') +plt.ylabel('Tissue concentration (mM)') +plt.legend() +plt.show() + +# %% +# Comparing different discretization methods for an extracellular volume fraction of 0.2 and Ktrans of 0.2 /min +ct = osipi.tofts(t, ca, Ktrans[1], ve) # Defaults to Convolution +plt.plot(t, ct, 'b-', label='Convolution') +ct = osipi.tofts(t, ca, Ktrans[1], ve, discretization_method='exp_conv') +plt.plot(t, ct, 'r-', label='Exponential Convolution') +plt.title(f'Ktrans = {Ktrans[1]} /min') +plt.xlabel('Time (sec)') +plt.ylabel('Tissue concentration (mM)') +plt.legend() +plt.show() + +# Choose the last image as a thumbnail for the gallery +# sphinx_gallery_thumbnail_number = -1 diff --git a/docs/source/generated/examples/tissue/plot_tofts.py.md5 b/docs/source/generated/examples/tissue/plot_tofts.py.md5 new file mode 100644 index 0000000..5064b7e --- /dev/null +++ b/docs/source/generated/examples/tissue/plot_tofts.py.md5 @@ -0,0 +1 @@ +22f7c0bef85a7ffb5ba95448038f7f5a \ No newline at end of file diff --git a/docs/source/generated/examples/tissue/plot_tofts.rst b/docs/source/generated/examples/tissue/plot_tofts.rst new file mode 100644 index 0000000..3cd82a3 --- /dev/null +++ b/docs/source/generated/examples/tissue/plot_tofts.rst @@ -0,0 +1,161 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "generated/examples/tissue/plot_tofts.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_generated_examples_tissue_plot_tofts.py: + + +==================== +The Tofts model +==================== + +Simulating tissue concentrations from Tofts model with different settings. + +.. GENERATED FROM PYTHON SOURCE LINES 10-11 + +Import necessary packages + +.. GENERATED FROM PYTHON SOURCE LINES 11-15 + +.. code-block:: default + + import numpy as np + import matplotlib.pyplot as plt + import osipi + + + + + + + + +.. GENERATED FROM PYTHON SOURCE LINES 16-17 + +Generate Parker AIF with default settings. + +.. GENERATED FROM PYTHON SOURCE LINES 17-24 + +.. code-block:: default + + + # Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes. + t = np.arange(0, 6*60, 0.5) + + # Create an AIF with default settings + ca = osipi.aif_parker(t) + + + + + + + + +.. GENERATED FROM PYTHON SOURCE LINES 25-26 + +Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 different transfer rate constants of 0.05, 0.2 and 0.6 /min + +.. GENERATED FROM PYTHON SOURCE LINES 26-39 + +.. code-block:: default + + Ktrans = [0.05, 0.2, 0.6] # in units of 1/min + ve = 0.2 # volume fraction between 0 and 1 + ct = osipi.tofts(t, ca, Ktrans[0], ve) + plt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min') + ct = osipi.tofts(t, ca, Ktrans[1], ve) + plt.plot(t, ct, 'r-', label=f'Ktrans = {Ktrans[1]} /min') + ct = osipi.tofts(t, ca, Ktrans[2], ve) + plt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[2]} /min') + plt.xlabel('Time (sec)') + plt.ylabel('Tissue concentration (mM)') + plt.legend() + plt.show() + + + + +.. image-sg:: /generated/examples/tissue/images/sphx_glr_plot_tofts_001.png + :alt: plot tofts + :srcset: /generated/examples/tissue/images/sphx_glr_plot_tofts_001.png + :class: sphx-glr-single-img + + + + + +.. GENERATED FROM PYTHON SOURCE LINES 40-41 + +Comparing different discretization methods for an extracellular volume fraction of 0.2 and Ktrans of 0.2 /min + +.. GENERATED FROM PYTHON SOURCE LINES 41-53 + +.. code-block:: default + + ct = osipi.tofts(t, ca, Ktrans[1], ve) # Defaults to Convolution + plt.plot(t, ct, 'b-', label='Convolution') + ct = osipi.tofts(t, ca, Ktrans[1], ve, discretization_method='exp_conv') + plt.plot(t, ct, 'r-', label='Exponential Convolution') + plt.title(f'Ktrans = {Ktrans[1]} /min') + plt.xlabel('Time (sec)') + plt.ylabel('Tissue concentration (mM)') + plt.legend() + plt.show() + + # Choose the last image as a thumbnail for the gallery + # sphinx_gallery_thumbnail_number = -1 + + + +.. image-sg:: /generated/examples/tissue/images/sphx_glr_plot_tofts_002.png + :alt: Ktrans = 0.2 /min + :srcset: /generated/examples/tissue/images/sphx_glr_plot_tofts_002.png + :class: sphx-glr-single-img + + + + + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** (0 minutes 0.185 seconds) + + +.. _sphx_glr_download_generated_examples_tissue_plot_tofts.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + + + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_tofts.py ` + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_tofts.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/source/generated/examples/tissue/plot_tofts_codeobj.pickle b/docs/source/generated/examples/tissue/plot_tofts_codeobj.pickle new file mode 100644 index 0000000000000000000000000000000000000000..bf61aefb0bb9d27713fd6c48e70028bbfc31223e GIT binary patch literal 1342 zcmbVMu};G<5CznvX;UOXV(H3K2C^WrvM?ZZ0I@Nk$W5Hu!igitfp$P*t>g{!zg%KB zYA8riGM!HE-Mf3|%ct{w?Htsf@*~a|jwIz-p_Tt2Vk~fcMt$f@g8h;xg;%FCGy zppEw~g{Q5;gPI0)Pg5jw#wDYRAYWGzX#ANqePQql8LwcD#-^%6;}3LrVWp5dw6^{W zoi)&LHOz{k1!i5wxoVB$T4Jw(YUOoj<(sy$CH7LT7g&4V;bq*mbO&ZteHM6Po+P44 zm?QCuMHj#CTk7K-a<%&Aan3Cat5LO2NhO?4hv6Puty9htGgk4MQ zrF`^OjcN}!VI09J{krajRYS_1OM&3zw}b(s#Xf%7;73^=AYd$a?3~&kN4Wi)gj|Fv XmW0Q9%B(%7EmiHVIa_WaxD0*(_fPy5 literal 0 HcmV?d00001 diff --git a/docs/source/generated/examples/tissue/sg_execution_times.rst b/docs/source/generated/examples/tissue/sg_execution_times.rst index 0665758..3281926 100644 --- a/docs/source/generated/examples/tissue/sg_execution_times.rst +++ b/docs/source/generated/examples/tissue/sg_execution_times.rst @@ -6,8 +6,8 @@ Computation times ================= -**00:00.134** total execution time for **generated_examples_tissue** files: +**00:00.185** total execution time for **generated_examples_tissue** files: +-----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_generated_examples_tissue_plot_dummy.py` (``plot_dummy.py``) | 00:00.134 | 0.0 MB | +| :ref:`sphx_glr_generated_examples_tissue_plot_tofts.py` (``plot_tofts.py``) | 00:00.185 | 0.0 MB | +-----------------------------------------------------------------------------+-----------+--------+ diff --git a/docs/source/reference/general.convolution.rst b/docs/source/reference/general.convolution.rst new file mode 100644 index 0000000..b8c5ef1 --- /dev/null +++ b/docs/source/reference/general.convolution.rst @@ -0,0 +1,19 @@ +Convolution +============= + +.. currentmodule:: osipi + +Exponential Convolution +----------------------- + +.. autosummary:: + :toctree: ../generated/api/ + :template: autosummary.rst + + exp_conv + + Please check back later for additional methods - or better yet, write up what you were looking for here and contribute it! This way the next person looking for this feature won't have to.. + + See :ref:`developer-guide` for guidance on how to contribute. + + diff --git a/docs/source/reference/models.concentration.tissue.rst b/docs/source/reference/models.concentration.tissue.rst index f654012..6392556 100644 --- a/docs/source/reference/models.concentration.tissue.rst +++ b/docs/source/reference/models.concentration.tissue.rst @@ -3,11 +3,17 @@ Tissue models .. currentmodule:: osipi -.. note:: - This is a placeholder page. There is no relevant functionality in ``osipi`` yet. - - Please check back later - or better yet, write up what you were looking for here and contribute it! This way the next person looking for this feature won't have to.. +Tofts model +----------- + +.. autosummary:: + :toctree: ../generated/api/ + :template: autosummary.rst + + tofts + + Please check back later for additional functionality - or better yet, write up what you were looking for here and contribute it! This way the next person looking for this feature won't have to.. See :ref:`developer-guide` for guidance on how to contribute. diff --git a/requirements.txt b/requirements.txt index e69de29..5576e19 100644 --- a/requirements.txt +++ b/requirements.txt @@ -0,0 +1,2 @@ +numpy +scipy \ No newline at end of file diff --git a/src/osipi/__init__.py b/src/osipi/__init__.py index 2a1747e..cea6acc 100644 --- a/src/osipi/__init__.py +++ b/src/osipi/__init__.py @@ -5,6 +5,10 @@ aif_weinmann, ) -from ._indicator_kinetic_model import ( +from ._tissue import ( tofts ) + +from ._convolution import ( + exp_conv +) \ No newline at end of file diff --git a/src/osipi/_helpers.py b/src/osipi/_convolution.py similarity index 71% rename from src/osipi/_helpers.py rename to src/osipi/_convolution.py index c091858..e435949 100644 --- a/src/osipi/_helpers.py +++ b/src/osipi/_convolution.py @@ -1,12 +1,12 @@ import numpy as np -def exp_conv(T:float, t:np.ndarray, a:np.ndarray)->np.ndarray: +def exp_conv(T: float, t: np.ndarray, a: np.ndarray) -> np.ndarray: """Exponential convolution operation of (1/T)exp(-t/T) with a - + Args: - T (float): exponent - t (np.ndarray): array of time points in units of sec. [OSIPI code Q.GE1.004] + T (float): exponent in time units + t (np.ndarray): array of time points a (np.ndarray): array to be convolved with time exponential Returns: @@ -14,7 +14,7 @@ def exp_conv(T:float, t:np.ndarray, a:np.ndarray)->np.ndarray: """ if T == 0: - return (a) + return a n = len(t) f = np.zeros((n,)) @@ -32,5 +32,5 @@ def exp_conv(T:float, t:np.ndarray, a:np.ndarray)->np.ndarray: f[i + 1] = E[i] * f[i] + add[i] f[n - 1] = f[n - 2] - return (f) + return f diff --git a/src/osipi/_indicator_kinetic_model.py b/src/osipi/_tissue.py similarity index 84% rename from src/osipi/_indicator_kinetic_model.py rename to src/osipi/_tissue.py index 4ff1677..1641c11 100644 --- a/src/osipi/_indicator_kinetic_model.py +++ b/src/osipi/_tissue.py @@ -1,9 +1,10 @@ import numpy as np from scipy.interpolate import interp1d -from _helpers import exp_conv +from osipi import exp_conv -def tofts(t:np.ndarray, ca:np.ndarray, Ktrans:float, ve:float, t_offset:float=0.0, discretization_method:str="conv")->np.ndarray: +def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: float = 0.0, + discretization_method: str = "conv") -> np.ndarray: """Tofts model as defined by zzz et al (year) Args: @@ -43,20 +44,24 @@ def tofts(t:np.ndarray, ca:np.ndarray, Ktrans:float, ve:float, t_offset:float=0. Calculate tissue concentrations and plot >>> Ktrans = 0.6 # in units of 1/min >>> ve = 0.2 # takes values from 0 to 1 - >>> ct = osipi._indicator_kinetic_model.tofts(t, ca, Ktrans, ve) + >>> ct = osipi.tofts(t, ca, Ktrans, ve) >>> plt.plot(t, ca, 'r', t, ct, 'b') """ # Convert from OSIPI units (sec) to mins - t_min = t/60 - t_off_min = t_offset/60 + t_min = t / 60 + t_off_min = t_offset / 60 # Shift the AIF by the toff (if not zero) if t_off_min != 0: f = interp1d(t, ca, kind='linear', bounds_error=False, fill_value=0) ca = (t_min > t_off_min) * f(t_min - t_off_min) - if discretization_method is 'conv': # Use convolution + if discretization_method == 'exp_conv': # Use exponential convolution + Tc = ve / Ktrans + ct = ve * exp_conv(Tc, t_min, ca) + + else: # Use convolution by default # Calculate the impulse response function imp = Ktrans * np.exp(-1 * Ktrans * t / ve) @@ -66,9 +71,4 @@ def tofts(t:np.ndarray, ca:np.ndarray, Ktrans:float, ve:float, t_offset:float=0. # Discard unwanted points and make sure time spacing is correct ct = convolution[0:len(t_min)] * t_min[1] - elif discretization_method is 'exp_conv': # Use exponential convolution - Tc = ve / Ktrans - ct = ve * exp_conv(Tc, t_min, ca) - return ct - diff --git a/tests/test_tofts.py b/tests/test_tofts.py index 30a96a7..0772010 100644 --- a/tests/test_tofts.py +++ b/tests/test_tofts.py @@ -1,6 +1,7 @@ import numpy as np import osipi + def test_tofts(): t = np.arange(0, 6*60, 1) @@ -10,8 +11,10 @@ def test_tofts(): # Test that the peak tissue concentration is less than the peak AIF assert np.round(np.max(ct)) < np.round(np.max(ca)) + if __name__ == "__main__": test_tofts() - print('All Tofts model tests passed!!') \ No newline at end of file + print('All Tofts model tests passed!!') + From 4794c8a5410c7c56077ffd744f8869b01582dfff Mon Sep 17 00:00:00 2001 From: stadmill Date: Wed, 20 Sep 2023 15:14:16 +1000 Subject: [PATCH 03/20] Added Tofts functionality and examples --- .idea/.gitignore | 8 +++++ .idea/inspectionProfiles/Project_Default.xml | 18 ++++++++++ .../inspectionProfiles/profiles_settings.xml | 6 ++++ .idea/misc.xml | 4 +++ .idea/modules.xml | 8 +++++ .idea/other.xml | 6 ++++ .idea/pypi.iml | 31 ++++++++++++++++++ .idea/vcs.xml | 6 ++++ docs/examples/tissue/plot_tofts.py | 6 ++-- docs/source/generated/api/osipi.exp_conv.rst | 18 ++++++++++ docs/source/generated/api/osipi.tofts.rst | 18 ++++++++++ .../backreferences/osipi.exp_conv.examples | 0 .../tissue/images/sphx_glr_plot_tofts_001.png | Bin 35530 -> 40302 bytes .../tissue/images/sphx_glr_plot_tofts_002.png | Bin 31198 -> 33911 bytes .../thumb/sphx_glr_plot_tofts_thumb.png | Bin 22429 -> 23769 bytes .../examples/tissue/plot_tofts.ipynb | 4 +-- .../generated/examples/tissue/plot_tofts.py | 6 ++-- .../examples/tissue/plot_tofts.py.md5 | 2 +- .../generated/examples/tissue/plot_tofts.rst | 8 ++--- .../examples/tissue/plot_tofts_codeobj.pickle | Bin 1342 -> 1342 bytes .../examples/tissue/sg_execution_times.rst | 4 +-- docs/source/reference/general.convolution.rst | 6 ---- .../reference/models.concentration.tissue.rst | 8 ----- src/osipi/_tissue.py | 18 ++++++---- 24 files changed, 150 insertions(+), 35 deletions(-) create mode 100644 .idea/.gitignore create mode 100644 .idea/inspectionProfiles/Project_Default.xml create mode 100644 .idea/inspectionProfiles/profiles_settings.xml create mode 100644 .idea/misc.xml create mode 100644 .idea/modules.xml create mode 100644 .idea/other.xml create mode 100644 .idea/pypi.iml create mode 100644 .idea/vcs.xml create mode 100644 docs/source/generated/api/osipi.exp_conv.rst create mode 100644 docs/source/generated/api/osipi.tofts.rst create mode 100644 docs/source/generated/backreferences/osipi.exp_conv.examples diff --git a/.idea/.gitignore b/.idea/.gitignore new file mode 100644 index 0000000..13566b8 --- /dev/null +++ b/.idea/.gitignore @@ -0,0 +1,8 @@ +# Default ignored files +/shelf/ +/workspace.xml +# Editor-based HTTP Client requests +/httpRequests/ +# Datasource local storage ignored files +/dataSources/ +/dataSources.local.xml diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml new file mode 100644 index 0000000..82d27b5 --- /dev/null +++ b/.idea/inspectionProfiles/Project_Default.xml @@ -0,0 +1,18 @@ + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml new file mode 100644 index 0000000..105ce2d --- /dev/null +++ b/.idea/inspectionProfiles/profiles_settings.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/.idea/misc.xml b/.idea/misc.xml new file mode 100644 index 0000000..2a41b1e --- /dev/null +++ b/.idea/misc.xml @@ -0,0 +1,4 @@ + + + + \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml new file mode 100644 index 0000000..accb17d --- /dev/null +++ b/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/.idea/other.xml b/.idea/other.xml new file mode 100644 index 0000000..a708ec7 --- /dev/null +++ b/.idea/other.xml @@ -0,0 +1,6 @@ + + + + + \ No newline at end of file diff --git a/.idea/pypi.iml b/.idea/pypi.iml new file mode 100644 index 0000000..4c8c7b3 --- /dev/null +++ b/.idea/pypi.iml @@ -0,0 +1,31 @@ + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml new file mode 100644 index 0000000..35eb1dd --- /dev/null +++ b/.idea/vcs.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/docs/examples/tissue/plot_tofts.py b/docs/examples/tissue/plot_tofts.py index 3bc536c..7438abc 100644 --- a/docs/examples/tissue/plot_tofts.py +++ b/docs/examples/tissue/plot_tofts.py @@ -28,9 +28,9 @@ ct = osipi.tofts(t, ca, Ktrans[0], ve) plt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min') ct = osipi.tofts(t, ca, Ktrans[1], ve) -plt.plot(t, ct, 'r-', label=f'Ktrans = {Ktrans[1]} /min') +plt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[1]} /min') ct = osipi.tofts(t, ca, Ktrans[2], ve) -plt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[2]} /min') +plt.plot(t, ct, 'm-', label=f'Ktrans = {Ktrans[2]} /min') plt.xlabel('Time (sec)') plt.ylabel('Tissue concentration (mM)') plt.legend() @@ -41,7 +41,7 @@ ct = osipi.tofts(t, ca, Ktrans[1], ve) # Defaults to Convolution plt.plot(t, ct, 'b-', label='Convolution') ct = osipi.tofts(t, ca, Ktrans[1], ve, discretization_method='exp_conv') -plt.plot(t, ct, 'r-', label='Exponential Convolution') +plt.plot(t, ct, 'g-', label='Exponential Convolution') plt.title(f'Ktrans = {Ktrans[1]} /min') plt.xlabel('Time (sec)') plt.ylabel('Tissue concentration (mM)') diff --git a/docs/source/generated/api/osipi.exp_conv.rst b/docs/source/generated/api/osipi.exp_conv.rst new file mode 100644 index 0000000..7efa526 --- /dev/null +++ b/docs/source/generated/api/osipi.exp_conv.rst @@ -0,0 +1,18 @@ +osipi.exp\_conv +=============== + + +.. currentmodule:: osipi + + + +.. 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zpS*+FWAZ8%Q$~-;4_MSVy`frDCr@Y6pS+!!Z}JtUY{tmR4$MH!tje58aHIb-t53eq Y!oiq0`7)y;W6oqzCME8CnC? np.ndarray: - """Tofts model as defined by zzz et al (year) + """Tofts model as defined by Tofts and Kermode (1991) Args: t (np.ndarray): array of time points in units of sec. [OSIPI code Q.GE1.004] @@ -13,7 +13,13 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: flo Ktrans (float): Volume transfer constant in units of 1/min. [OSIPI code Q.PH1.008] ve (float): Relative volume fraction of the extracellular extravascular compartment (e). [OSIPI code Q.PH1.001.[e]] t_offset (float, optional): Difference in onset time between tissue curve and aif in units of sec. [OSIPI code ????] - discretization_method (str, optional): Defines the discretization method used in the model definition. [OSIPI code ????] + discretization_method (str, optional): Defines the discretization method used in the model definition. Options include + 'conv': Numerical convolution [OSIPI code G.DI1.001] + 'bc': Block-circulant convolution [OSIPI code G.DI1.002] + 'vl': Volterra linear convolution [OSIPI code G.DI1.003] + 'singular': Singular convolution [OSIPI code G.DI1.004] + 'hyrbid': Hybrid convolution [OSIPI code G.DI1.005] + 'exp': Exponential convolution [OSIPI code G.DI1.006] Returns: np.ndarray: Tissue concentrations in mM for each time point in t. @@ -22,7 +28,7 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: flo 'extended_tofts' References: - - Lexicon url: + - Lexicon url: https://osipi.github.io/OSIPI_CAPLEX/generalPurposeProcesses/#discretization-methods - Lexicon code: M.IC1.004 - OSIPI name: Tofts Model - Adapted from contributions by: LEK_UoEdinburgh_UK, ST_USyd_AUS @@ -57,13 +63,13 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: flo f = interp1d(t, ca, kind='linear', bounds_error=False, fill_value=0) ca = (t_min > t_off_min) * f(t_min - t_off_min) - if discretization_method == 'exp_conv': # Use exponential convolution + if discretization_method == 'exp': # Use exponential convolution Tc = ve / Ktrans ct = ve * exp_conv(Tc, t_min, ca) else: # Use convolution by default # Calculate the impulse response function - imp = Ktrans * np.exp(-1 * Ktrans * t / ve) + imp = Ktrans * np.exp(-1 * Ktrans * t_min / ve) # Convolve impulse response with AIF convolution = np.convolve(ca, imp) From 042bb24697c0e16d2d5606a5d8ff0f4542966330 Mon Sep 17 00:00:00 2001 From: stadmill Date: Mon, 25 Sep 2023 14:20:21 +1000 Subject: [PATCH 04/20] Corrected url --- docs/source/developers_guide/index.rst | 4 ++-- src/osipi/_tissue.py | 16 ++++++++-------- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/docs/source/developers_guide/index.rst b/docs/source/developers_guide/index.rst index b2515a7..bf2c080 100644 --- a/docs/source/developers_guide/index.rst +++ b/docs/source/developers_guide/index.rst @@ -36,7 +36,7 @@ If you want to edit the documentation of a specific function, then you need to f How to contribute tests *********************** -Beyond documentation and functionality, solid testing is equally critical for ensuring long-term stability of a package. `osipi` uses a continuous integration model where all tests are run before each push to the central respository. This is important because often changes at one part of the code, even if tested well locally, can have unintended consequences at other parts. The testing prevents that these errors propagate and destablize parts of the package. +Beyond documentation and functionality, solid testing is equally critical for ensuring long-term stability of a package. `osipi` uses a continuous integration model where all tests are run before each push to the central repository. This is important because often changes at one part of the code, even if tested well locally, can have unintended consequences at other parts. The testing prevents that these errors propagate and destablize parts of the package. If you find a bug in any part of the code, this obviously points to a flaw in the code, but it also reveals a gap in the testing. It is critical when this happens that both the code AND the tests are reviewed to ensure that in future a scenario of this type is picked up during testing. @@ -47,7 +47,7 @@ The tests are defined in the folder `osipi-tests`. How to contribute functionality ******************************* -OSIPI is always happy to recieve new functionality for inclusion in the `osipi` package. This can be code that addresses a gap in the current functionality, or it can be code that improves the performance of a current implementation. Improvements can consist of extending the functionality (e.g. with new optional arguments), user friendliness or consistency, improvement of the accuracy or precision in the results, computation time, or platform independence, or improved documentation or code structure. +OSIPI is always happy to receive new functionality for inclusion in the `osipi` package. This can be code that addresses a gap in the current functionality, or it can be code that improves the performance of a current implementation. Improvements can consist of extending the functionality (e.g. with new optional arguments), user friendliness or consistency, improvement of the accuracy or precision in the results, computation time, or platform independence, or improved documentation or code structure. Contribution of functionality generally proceeds in two steps. In the first step you submit your code to the primary *contributions* repository as explained in its `wiki `_. The task force will catalogue your code in the contributions repository and test it as explained in the `guidance `_. Afterwards, if it is found to address a gap in `osipi` and/or improve existing functionality, you will be invited to submit a pull request to `osipi` containing your contribution formatted as required by the package. diff --git a/src/osipi/_tissue.py b/src/osipi/_tissue.py index 5405cc1..a649fe8 100644 --- a/src/osipi/_tissue.py +++ b/src/osipi/_tissue.py @@ -13,13 +13,13 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: flo Ktrans (float): Volume transfer constant in units of 1/min. [OSIPI code Q.PH1.008] ve (float): Relative volume fraction of the extracellular extravascular compartment (e). [OSIPI code Q.PH1.001.[e]] t_offset (float, optional): Difference in onset time between tissue curve and aif in units of sec. [OSIPI code ????] - discretization_method (str, optional): Defines the discretization method used in the model definition. Options include - 'conv': Numerical convolution [OSIPI code G.DI1.001] - 'bc': Block-circulant convolution [OSIPI code G.DI1.002] - 'vl': Volterra linear convolution [OSIPI code G.DI1.003] - 'singular': Singular convolution [OSIPI code G.DI1.004] - 'hyrbid': Hybrid convolution [OSIPI code G.DI1.005] - 'exp': Exponential convolution [OSIPI code G.DI1.006] + discretization_method (str, optional): Defines the discretization method. Options include + 'conv': Numerical convolution [OSIPI code G.DI1.001] + 'bc': Block-circulant convolution [OSIPI code G.DI1.002] + 'vl': Volterra linear convolution [OSIPI code G.DI1.003] + 'singular': Singular convolution [OSIPI code G.DI1.004] + 'hyrbid': Hybrid convolution [OSIPI code G.DI1.005] + 'exp': Exponential convolution [OSIPI code G.DI1.006] Returns: np.ndarray: Tissue concentrations in mM for each time point in t. @@ -28,7 +28,7 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: flo 'extended_tofts' References: - - Lexicon url: https://osipi.github.io/OSIPI_CAPLEX/generalPurposeProcesses/#discretization-methods + - Lexicon url: https://osipi.github.io/OSIPI_CAPLEX/perfusionModels/#indicator-kinetic-models - Lexicon code: M.IC1.004 - OSIPI name: Tofts Model - Adapted from contributions by: LEK_UoEdinburgh_UK, ST_USyd_AUS From 2ce1db5a0f067f1d84c7f1b29c5eb9586a2be87a Mon Sep 17 00:00:00 2001 From: stadmill Date: Mon, 25 Sep 2023 14:26:36 +1000 Subject: [PATCH 05/20] formatted docstring --- src/osipi/_tissue.py | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/src/osipi/_tissue.py b/src/osipi/_tissue.py index a649fe8..aeadf96 100644 --- a/src/osipi/_tissue.py +++ b/src/osipi/_tissue.py @@ -5,6 +5,7 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: float = 0.0, discretization_method: str = "conv") -> np.ndarray: + """Tofts model as defined by Tofts and Kermode (1991) Args: @@ -12,14 +13,15 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: flo ca (np.ndarray): Arterial concentrations in mM for each time point in t. [OSIPI code Q.IC1.001] Ktrans (float): Volume transfer constant in units of 1/min. [OSIPI code Q.PH1.008] ve (float): Relative volume fraction of the extracellular extravascular compartment (e). [OSIPI code Q.PH1.001.[e]] - t_offset (float, optional): Difference in onset time between tissue curve and aif in units of sec. [OSIPI code ????] + t_offset (float, optional): Difference in onset time between tissue curve and aif in units of sec. Defaults to 0. [OSIPI code ????] discretization_method (str, optional): Defines the discretization method. Options include - 'conv': Numerical convolution [OSIPI code G.DI1.001] - 'bc': Block-circulant convolution [OSIPI code G.DI1.002] - 'vl': Volterra linear convolution [OSIPI code G.DI1.003] - 'singular': Singular convolution [OSIPI code G.DI1.004] - 'hyrbid': Hybrid convolution [OSIPI code G.DI1.005] - 'exp': Exponential convolution [OSIPI code G.DI1.006] + + – 'conv': Numerical convolution (default) [OSIPI code G.DI1.001] + – 'bc': Block-circulant convolution [OSIPI code G.DI1.002] + – 'vl': Volterra linear convolution [OSIPI code G.DI1.003] + – 'singular': Singular convolution [OSIPI code G.DI1.004] + – 'hyrbid': Hybrid convolution [OSIPI code G.DI1.005] + – 'exp': Exponential convolution [OSIPI code G.DI1.006] Returns: np.ndarray: Tissue concentrations in mM for each time point in t. From 813554809f401f82649355cc81da18577f30b23f Mon Sep 17 00:00:00 2001 From: stadmill Date: Mon, 25 Sep 2023 16:55:57 +1000 Subject: [PATCH 06/20] updated documentation --- docs/source/reference/alphabetical.rst | 1 + docs/source/reference/general.convolution.rst | 5 +++-- docs/source/reference/general.rst | 1 + src/osipi/_tissue.py | 8 +++++++- tests/{test_tofts.py => test_tissue.py} | 6 +++--- 5 files changed, 15 insertions(+), 6 deletions(-) rename tests/{test_tofts.py => test_tissue.py} (73%) diff --git a/docs/source/reference/alphabetical.rst b/docs/source/reference/alphabetical.rst index 8160ac2..6d55f12 100644 --- a/docs/source/reference/alphabetical.rst +++ b/docs/source/reference/alphabetical.rst @@ -13,6 +13,7 @@ Alphabetic list of all currently available `osipi` code snippets. aif_parker aif_georgiou aif_weinmann + exp_conv diff --git a/docs/source/reference/general.convolution.rst b/docs/source/reference/general.convolution.rst index 2290548..e2a7a80 100644 --- a/docs/source/reference/general.convolution.rst +++ b/docs/source/reference/general.convolution.rst @@ -1,8 +1,9 @@ Convolution -============= +^^^^^^^^^^^ .. currentmodule:: osipi + Exponential Convolution ----------------------- @@ -10,4 +11,4 @@ Exponential Convolution :toctree: ../generated/api/ :template: autosummary.rst - exp_conv + exp_conv \ No newline at end of file diff --git a/docs/source/reference/general.rst b/docs/source/reference/general.rst index 563c680..df0ee2f 100644 --- a/docs/source/reference/general.rst +++ b/docs/source/reference/general.rst @@ -6,6 +6,7 @@ General :maxdepth: 2 general.averaging + general.convolution general.deconvolution general.descriptive general.forward diff --git a/src/osipi/_tissue.py b/src/osipi/_tissue.py index aeadf96..a4e9357 100644 --- a/src/osipi/_tissue.py +++ b/src/osipi/_tissue.py @@ -17,12 +17,18 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: flo discretization_method (str, optional): Defines the discretization method. Options include – 'conv': Numerical convolution (default) [OSIPI code G.DI1.001] + – 'bc': Block-circulant convolution [OSIPI code G.DI1.002] + – 'vl': Volterra linear convolution [OSIPI code G.DI1.003] + – 'singular': Singular convolution [OSIPI code G.DI1.004] - – 'hyrbid': Hybrid convolution [OSIPI code G.DI1.005] + + – 'hybrid': Hybrid convolution [OSIPI code G.DI1.005] + – 'exp': Exponential convolution [OSIPI code G.DI1.006] + Returns: np.ndarray: Tissue concentrations in mM for each time point in t. diff --git a/tests/test_tofts.py b/tests/test_tissue.py similarity index 73% rename from tests/test_tofts.py rename to tests/test_tissue.py index 0772010..48ecc58 100644 --- a/tests/test_tofts.py +++ b/tests/test_tissue.py @@ -2,7 +2,7 @@ import osipi -def test_tofts(): +def test_tissue_tofts(): t = np.arange(0, 6*60, 1) ca = osipi.aif_parker(t) @@ -14,7 +14,7 @@ def test_tofts(): if __name__ == "__main__": - test_tofts() + test_tissue_tofts() - print('All Tofts model tests passed!!') + print('All tissue concentration model tests passed!!') From 57553ae031cc80f4b28e83184f9d6abbc9aa4910 Mon Sep 17 00:00:00 2001 From: stadmill Date: Mon, 23 Oct 2023 16:24:21 +1100 Subject: [PATCH 07/20] edited tofts documentation and tests; changed BAT default in aif to 0 and set offset time default in tissue model to 30.0 sec instead. --- docs/source/reference/general.descriptive.rst | 6 ++--- src/osipi/__init__.py | 4 --- src/osipi/_aif.py | 4 +-- src/osipi/_tissue.py | 12 ++------- tests/test_tissue.py | 27 +++++++++++++++---- 5 files changed, 29 insertions(+), 24 deletions(-) diff --git a/docs/source/reference/general.descriptive.rst b/docs/source/reference/general.descriptive.rst index 4f5ddc4..813ab6c 100644 --- a/docs/source/reference/general.descriptive.rst +++ b/docs/source/reference/general.descriptive.rst @@ -5,11 +5,11 @@ Descriptive .. note:: - This is a placeholder page. There is no relevant functionality in ``osipi`` yet. - + This is a placeholder page. There is no relevant functionality in ``osipi`` yet. + Please check back later - or better yet, write up what you were looking for here and contribute it! This way the next person looking for this feature won't have to.. See :ref:`developer-guide` for guidance on how to contribute. - + diff --git a/src/osipi/__init__.py b/src/osipi/__init__.py index cea6acc..1155ccc 100644 --- a/src/osipi/__init__.py +++ b/src/osipi/__init__.py @@ -7,8 +7,4 @@ from ._tissue import ( tofts -) - -from ._convolution import ( - exp_conv ) \ No newline at end of file diff --git a/src/osipi/_aif.py b/src/osipi/_aif.py index 52933d0..d2a4f7b 100644 --- a/src/osipi/_aif.py +++ b/src/osipi/_aif.py @@ -1,12 +1,12 @@ import numpy as np -def aif_parker(t:np.ndarray, BAT:float=30.0, Hct:float=0.0, dose:float=0.1)->np.ndarray: +def aif_parker(t:np.ndarray, BAT:float=0.0, Hct:float=0.0, dose:float=0.1)->np.ndarray: """AIF model as defined by Parker et al (2005) Args: t (np.ndarray): array of time points in units of sec. [OSIPI code Q.GE1.004] - BAT (float, optional): Time in seconds before the bolus arrives. Defaults to 30sec. [OSIPI code Q.BA1.001] + BAT (float, optional): Time in seconds before the bolus arrives. Defaults to 0. [OSIPI code Q.BA1.001] Hct (float, optional): Hematocrit. Defaults to 0.0. [OSIPI code Q.PH1.012] dose (float, optional): Injected contrast agent dose in units of [???]. Defaults to 0.1. [OSIPI code Q.IC1.999] diff --git a/src/osipi/_tissue.py b/src/osipi/_tissue.py index a4e9357..742db1c 100644 --- a/src/osipi/_tissue.py +++ b/src/osipi/_tissue.py @@ -3,7 +3,7 @@ from ._convolution import exp_conv -def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: float = 0.0, +def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: float = 30.0, discretization_method: str = "conv") -> np.ndarray: """Tofts model as defined by Tofts and Kermode (1991) @@ -13,19 +13,11 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: flo ca (np.ndarray): Arterial concentrations in mM for each time point in t. [OSIPI code Q.IC1.001] Ktrans (float): Volume transfer constant in units of 1/min. [OSIPI code Q.PH1.008] ve (float): Relative volume fraction of the extracellular extravascular compartment (e). [OSIPI code Q.PH1.001.[e]] - t_offset (float, optional): Difference in onset time between tissue curve and aif in units of sec. Defaults to 0. [OSIPI code ????] + t_offset (float, optional): Difference in onset time between tissue curve and aif in units of sec. Defaults to 30 seconds. [OSIPI code ????] discretization_method (str, optional): Defines the discretization method. Options include – 'conv': Numerical convolution (default) [OSIPI code G.DI1.001] - – 'bc': Block-circulant convolution [OSIPI code G.DI1.002] - - – 'vl': Volterra linear convolution [OSIPI code G.DI1.003] - - – 'singular': Singular convolution [OSIPI code G.DI1.004] - - – 'hybrid': Hybrid convolution [OSIPI code G.DI1.005] - – 'exp': Exponential convolution [OSIPI code G.DI1.006] diff --git a/tests/test_tissue.py b/tests/test_tissue.py index 48ecc58..f77d53a 100644 --- a/tests/test_tissue.py +++ b/tests/test_tissue.py @@ -1,16 +1,33 @@ import numpy as np import osipi - +import math +import matplotlib.pyplot as plt def test_tissue_tofts(): - - t = np.arange(0, 6*60, 1) + Ktrans = 0.6 + ve = 0.2 + t = np.arange(0, 6 * 60, 0.01) ca = osipi.aif_parker(t) - ct = osipi.tofts(t, ca, Ktrans=0.6, ve=0.2) - # Test that the peak tissue concentration is less than the peak AIF + # 1. Basic operation of the function - test that the peak tissue concentration is less than the peak AIF + ct = osipi.tofts(t, ca, Ktrans=Ktrans, ve=ve) assert np.round(np.max(ct)) < np.round(np.max(ca)) + # 2. The offset option - test that the tissue concentration is shifted from the AIF by the specified offset time + ct = osipi.tofts(t, ca, Ktrans=Ktrans, ve=ve, t_offset=60.0) + assert (np.min(np.where(ct>0.0)) - np.min(np.where(ca>0.0)) - 1)*0.01 == 60.0 + + # 3. Test that the discretization options give almost the same result + ct_conv = osipi.tofts(t, ca, Ktrans=0.6, ve=0.2) + ct_exp = osipi.tofts(t, ca, Ktrans=0.6, ve=0.2, discretization_method='exp') + assert np.allclose(ct_conv, ct_exp, rtol=1e-4, atol=1e-3) + + # 4. Test that the ratio of the area under the ct and ca curves is approximately the extracellular volume + ct_conv = osipi.tofts(t, ca, Ktrans=Ktrans, ve=ve) + ct_exp = osipi.tofts(t, ca, Ktrans=Ktrans, ve=ve, discretization_method='exp') + assert math.isclose(np.trapz(ct_conv, t)/np.trapz(ca, t), ve, abs_tol=1e-1) + assert math.isclose(np.trapz(ct_exp, t)/np.trapz(ca, t), ve, abs_tol=1e-1) + if __name__ == "__main__": From 2d71809ce90dc30b00ad88cc5930fd77d9e7601b Mon Sep 17 00:00:00 2001 From: stadmill Date: Mon, 23 Oct 2023 16:28:21 +1100 Subject: [PATCH 08/20] edited tofts documentation and tests; changed BAT default in aif to 0 and set offset time default in tissue model to 30.0 sec instead. Remove dummy plot from tofts example folder. --- .../tissue/images/sphx_glr_plot_dummy_001.png | Bin 14854 -> 0 bytes .../thumb/sphx_glr_plot_dummy_thumb.png | Bin 10959 -> 0 bytes .../examples/tissue/plot_dummy.ipynb | 61 ---------- .../generated/examples/tissue/plot_dummy.py | 28 ----- .../examples/tissue/plot_dummy.py.md5 | 1 - .../generated/examples/tissue/plot_dummy.rst | 105 ------------------ .../examples/tissue/plot_dummy_codeobj.pickle | Bin 627 -> 0 bytes 7 files changed, 195 deletions(-) delete mode 100644 docs/source/generated/examples/tissue/images/sphx_glr_plot_dummy_001.png delete mode 100644 docs/source/generated/examples/tissue/images/thumb/sphx_glr_plot_dummy_thumb.png delete mode 100644 docs/source/generated/examples/tissue/plot_dummy.ipynb delete mode 100644 docs/source/generated/examples/tissue/plot_dummy.py delete mode 100644 docs/source/generated/examples/tissue/plot_dummy.py.md5 delete mode 100644 docs/source/generated/examples/tissue/plot_dummy.rst delete mode 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structure. \n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import numpy as np\nimport matplotlib.pyplot as plt\nimport osipi" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Generate synthetic AIF with default settings and plot the result.\n\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes.\nt = np.arange(0, 6*60, 0.5)\n\n# Create an AIF with default settings\nca = osipi.aif_parker(t)\n\n# Plot the AIF over the full range\nplt.plot(t, ca)\nplt.show()\n\n\n# Choose the last image as a thumbnail for the gallery\n# sphinx_gallery_thumbnail_number = -1" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.10" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file diff --git a/docs/source/generated/examples/tissue/plot_dummy.py b/docs/source/generated/examples/tissue/plot_dummy.py deleted file mode 100644 index 6cde113..0000000 --- a/docs/source/generated/examples/tissue/plot_dummy.py +++ /dev/null @@ -1,28 +0,0 @@ -""" -==================== -Dummy script as demo -==================== - -Dummy script to show the examples structure. -""" - -import numpy as np -import matplotlib.pyplot as plt -import osipi - -# %% -# Generate synthetic AIF with default settings and plot the result. - -# Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes. -t = np.arange(0, 6*60, 0.5) - -# Create an AIF with default settings -ca = osipi.aif_parker(t) - -# Plot the AIF over the full range -plt.plot(t, ca) -plt.show() - - -# Choose the last image as a thumbnail for the gallery -# sphinx_gallery_thumbnail_number = -1 diff --git a/docs/source/generated/examples/tissue/plot_dummy.py.md5 b/docs/source/generated/examples/tissue/plot_dummy.py.md5 deleted file mode 100644 index 7746462..0000000 --- a/docs/source/generated/examples/tissue/plot_dummy.py.md5 +++ /dev/null @@ -1 +0,0 @@ -345e334f0a9f6b049cf95fbfb3c54d56 \ No newline at end of file diff --git a/docs/source/generated/examples/tissue/plot_dummy.rst b/docs/source/generated/examples/tissue/plot_dummy.rst deleted file mode 100644 index a436fac..0000000 --- a/docs/source/generated/examples/tissue/plot_dummy.rst +++ /dev/null @@ -1,105 +0,0 @@ - -.. DO NOT EDIT. -.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. -.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: -.. "generated\examples\tissue\plot_dummy.py" -.. LINE NUMBERS ARE GIVEN BELOW. - -.. only:: html - - .. note:: - :class: sphx-glr-download-link-note - - :ref:`Go to the end ` - to download the full example code - -.. rst-class:: sphx-glr-example-title - -.. _sphx_glr_generated_examples_tissue_plot_dummy.py: - - -==================== -Dummy script as demo -==================== - -Dummy script to show the examples structure. - -.. GENERATED FROM PYTHON SOURCE LINES 8-13 - -.. code-block:: default - - - import numpy as np - import matplotlib.pyplot as plt - import osipi - - - - - - - - -.. GENERATED FROM PYTHON SOURCE LINES 14-15 - -Generate synthetic AIF with default settings and plot the result. - -.. GENERATED FROM PYTHON SOURCE LINES 15-29 - -.. code-block:: default - - - # Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes. - t = np.arange(0, 6*60, 0.5) - - # Create an AIF with default settings - ca = osipi.aif_parker(t) - - # Plot the AIF over the full range - plt.plot(t, ca) - plt.show() - - - # Choose the last image as a thumbnail for the gallery - # sphinx_gallery_thumbnail_number = -1 - - - -.. image-sg:: /generated/examples/tissue/images/sphx_glr_plot_dummy_001.png - :alt: plot dummy - :srcset: /generated/examples/tissue/images/sphx_glr_plot_dummy_001.png - :class: sphx-glr-single-img - - - - - - -.. rst-class:: sphx-glr-timing - - **Total running time of the script:** ( 0 minutes 0.134 seconds) - - -.. _sphx_glr_download_generated_examples_tissue_plot_dummy.py: - -.. only:: html - - .. container:: sphx-glr-footer sphx-glr-footer-example - - - - - .. container:: sphx-glr-download sphx-glr-download-python - - :download:`Download Python source code: plot_dummy.py ` - - .. container:: sphx-glr-download sphx-glr-download-jupyter - - :download:`Download Jupyter notebook: plot_dummy.ipynb ` - - -.. only:: html - - .. rst-class:: sphx-glr-signature - - `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/source/generated/examples/tissue/plot_dummy_codeobj.pickle b/docs/source/generated/examples/tissue/plot_dummy_codeobj.pickle deleted file mode 100644 index ae2b4370d99b06928626a2ff2a9bf226c617bdb2..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 627 zcmbV}PfG(a5XH4@+ikakdQ|WtNJUuu5Z(pv64GpHg4rbG588v^bs;y$?`w89wk|4& zISr4QdB41Q9lx{DUiU&lln|6SuB3%f+?t9STHSEs;0-SCU>Wuu+`~&OGKp&nVJa(Z z4BkMP)T;6#N@MA39fd_NAj_0-z~&+677>B1g(eiSrq5b%!W}dohg=I+YN6Ww%V@x+ zAzyphu>hNeeC4@tJaVyu9kWHl4jSM0W!+fpIjXU1Yr$8g-t=nmquP(tFq68(2FnM! zvpq>p=+ho4gKFxSs=k4o4nQVpRYXZ4MAoy^Lc^i5T=Nq1HPYBTQnT~?{j28#hxwP` q)}`CnCUUWL84(=!_Q`CoGa$N3y(#o~pQpc&Tn|XHZtOpy`|<-u&Ft9# From 39410ddbb8a191002c60feb86cd01cd5e35b820b Mon Sep 17 00:00:00 2001 From: stadmill Date: Wed, 8 Nov 2023 11:30:39 +1100 Subject: [PATCH 09/20] Updated tofts and aif functionality modified as per PR comments Modified AIF: default BAT=0, allowing tissue models to have a delay time input argument. --- docs/examples/aif/plot_aif_parker.py | 2 +- docs/examples/tissue/plot_tofts.py | 8 +- docs/source/generated/.DS_Store | Bin 0 -> 6148 bytes docs/source/generated/api/.DS_Store | Bin 0 -> 6148 bytes docs/source/generated/api/osipi.exp_conv.rst | 18 -- .../generated/api/osipi.extended_tofts.rst | 18 ++ ...examples => osipi.extended_tofts.examples} | 0 .../images/sphx_glr_plot_aif_parker_001.png | Bin 17948 -> 17375 bytes .../images/sphx_glr_plot_aif_parker_002.png | Bin 38164 -> 37722 bytes .../images/sphx_glr_plot_aif_parker_003.png | Bin 39567 -> 39771 bytes .../thumb/sphx_glr_plot_aif_parker_thumb.png | Bin 28707 -> 28627 bytes .../examples/aif/plot_aif_parker.ipynb | 249 +++++++----------- .../generated/examples/aif/plot_aif_parker.py | 2 +- .../examples/aif/plot_aif_parker.py.md5 | 2 +- .../examples/aif/plot_aif_parker.rst | 6 +- .../aif/plot_aif_parker_codeobj.pickle | Bin 993 -> 993 bytes .../examples/aif/sg_execution_times.rst | 6 +- .../tissue/images/sphx_glr_plot_tofts_001.png | Bin 40302 -> 40052 bytes .../tissue/images/sphx_glr_plot_tofts_002.png | Bin 33911 -> 33872 bytes .../thumb/sphx_glr_plot_tofts_thumb.png | Bin 23769 -> 23673 bytes .../examples/tissue/plot_tofts.ipynb | 4 +- .../generated/examples/tissue/plot_tofts.py | 8 +- .../examples/tissue/plot_tofts.py.md5 | 2 +- .../generated/examples/tissue/plot_tofts.rst | 10 +- .../examples/tissue/plot_tofts_codeobj.pickle | Bin 1342 -> 1342 bytes .../examples/tissue/sg_execution_times.rst | 4 +- docs/source/reference/alphabetical.rst | 6 +- docs/source/reference/general.convolution.rst | 12 +- .../reference/models.concentration.tissue.rst | 1 + docs/source/user_guide/forward/forward.rst | 16 +- src/osipi/__init__.py | 3 +- src/osipi/_aif.py | 8 +- src/osipi/_convolution.py | 1 + src/osipi/_tissue.py | 63 ++++- tests/test_tissue.py | 15 +- 35 files changed, 253 insertions(+), 211 deletions(-) create mode 100644 docs/source/generated/.DS_Store create mode 100644 docs/source/generated/api/.DS_Store delete mode 100644 docs/source/generated/api/osipi.exp_conv.rst create mode 100644 docs/source/generated/api/osipi.extended_tofts.rst rename docs/source/generated/backreferences/{osipi.exp_conv.examples => osipi.extended_tofts.examples} (100%) diff --git a/docs/examples/aif/plot_aif_parker.py b/docs/examples/aif/plot_aif_parker.py index 9e30887..6e9765d 100644 --- a/docs/examples/aif/plot_aif_parker.py +++ b/docs/examples/aif/plot_aif_parker.py @@ -29,7 +29,7 @@ plt.show() # %% -# The bolus arrival time (BAT) defaults to 30s. What happens if we change it? Let's try, by changing it in steps of 30s: +# The bolus arrival time (BAT) defaults to 0s. What happens if we change it? Let's try, by changing it in steps of 30s: ca = osipi.aif_parker(t, BAT=0) plt.plot(t, ca, 'b-', label='BAT = 0s') diff --git a/docs/examples/tissue/plot_tofts.py b/docs/examples/tissue/plot_tofts.py index 7438abc..f4695f7 100644 --- a/docs/examples/tissue/plot_tofts.py +++ b/docs/examples/tissue/plot_tofts.py @@ -24,8 +24,8 @@ # %% # Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 different transfer rate constants of 0.05, 0.2 and 0.6 /min Ktrans = [0.05, 0.2, 0.6] # in units of 1/min -ve = 0.2 # volume fraction between 0 and 1 -ct = osipi.tofts(t, ca, Ktrans[0], ve) +ve = 0.2 # volume fraction between 0 and 1 +ct = osipi.tofts(t, ca, Ktrans=Ktrans[0], ve=ve) plt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min') ct = osipi.tofts(t, ca, Ktrans[1], ve) plt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[1]} /min') @@ -38,9 +38,9 @@ # %% # Comparing different discretization methods for an extracellular volume fraction of 0.2 and Ktrans of 0.2 /min -ct = 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z#8J>8nKD&wfx_eWGko86c4eglyA-0KVZ*xPzatWccx@k0=%!r&DM(BkcaX$#70{Y? zOT|7{^a%n)5HKFU%yQv;h~?f!4ZnL?}uo-iC{NTjALGnx@ diff --git a/docs/source/generated/examples/aif/plot_aif_parker.ipynb b/docs/source/generated/examples/aif/plot_aif_parker.ipynb index 100448d..5cc57b5 100644 --- a/docs/source/generated/examples/aif/plot_aif_parker.ipynb +++ b/docs/source/generated/examples/aif/plot_aif_parker.ipynb @@ -1,149 +1,104 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "# The Parker AIF - a play with variables\n", - "\n", - "Simulating a Parker AIF with different settings. \n" - ] + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# The Parker AIF - a play with variables\n\nSimulating a Parker AIF with different settings. \n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Import necessary packages\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import numpy as np\nimport matplotlib.pyplot as plt\nimport osipi" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Generate synthetic AIF with default settings and plot the result.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes.\nt = np.arange(0, 6*60, 0.5)\n\n# Create an AIF with default settings\nca = osipi.aif_parker(t)\n\n# Plot the AIF over the full range\nplt.plot(t, ca, 'r-')\nplt.plot(t, 0*t, 'k-')\nplt.xlabel('Time (sec)')\nplt.ylabel('Plasma concentration (mM)')\nplt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The bolus arrival time (BAT) defaults to 0s. What happens if we change it? Let's try, by changing it in steps of 30s:\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "ca = osipi.aif_parker(t, BAT=0)\nplt.plot(t, ca, 'b-', label='BAT = 0s')\nca = osipi.aif_parker(t, BAT=30)\nplt.plot(t, ca, 'r-', label='BAT = 30s')\nca = osipi.aif_parker(t, BAT=60)\nplt.plot(t, ca, 'g-', label='BAT = 60s')\nca = osipi.aif_parker(t, BAT=90)\nplt.plot(t, ca, 'm-', label='BAT = 90s')\nplt.xlabel('Time (sec)')\nplt.ylabel('Plasma concentration (mM)')\nplt.legend()\nplt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "the dose defaults to 0.1- what happens if we change it too?\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "ca = osipi.aif_parker(t, BAT=0, dose=0.05)\nplt.plot(t, ca, 'b-', label='BAT = 0s, dose = 0.05')\nca = osipi.aif_parker(t, BAT=30, dose=0.1)\nplt.plot(t, ca, 'r-', label='BAT = 30s, dose = 0.1')\nca = osipi.aif_parker(t, BAT=60, dose=0.2)\nplt.plot(t, ca, 'g-', label='BAT = 60s, dose = 0.2')\nca = osipi.aif_parker(t, BAT=90, dose=0.3)\nplt.plot(t, ca, 'm-', label='BAT = 90s, dose = 0.3')\nplt.xlabel('Time (sec)')\nplt.ylabel('Plasma concentration (mM)')\nplt.legend()\nplt.show()\n\n# Choose the last image as a thumbnail for the gallery\n# sphinx_gallery_thumbnail_number = -1" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Import necessary packages\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import osipi" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Generate synthetic AIF with default settings and plot the result.\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes.\n", - "t = np.arange(0, 6*60, 0.5)\n", - "\n", - "# Create an AIF with default settings\n", - "ca = osipi.aif_parker(t)\n", - "\n", - "# Plot the AIF over the full range\n", - "plt.plot(t, ca, 'r-')\n", - "plt.plot(t, 0*t, 'k-')\n", - "plt.xlabel('Time (sec)')\n", - "plt.ylabel('Plasma concentration (mM)')\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The bolus arrival time (BAT) defaults to 30s. What happens if we change it? Let's try, by changing it in steps of 30s:\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "ca = osipi.aif_parker(t, BAT=0)\n", - "plt.plot(t, ca, 'b-', label='BAT = 0s')\n", - "ca = osipi.aif_parker(t, BAT=30)\n", - "plt.plot(t, ca, 'r-', label='BAT = 30s')\n", - "ca = osipi.aif_parker(t, BAT=60)\n", - "plt.plot(t, ca, 'g-', label='BAT = 60s')\n", - "ca = osipi.aif_parker(t, BAT=90)\n", - "plt.plot(t, ca, 'm-', label='BAT = 90s')\n", - "plt.xlabel('Time (sec)')\n", - "plt.ylabel('Plasma concentration (mM)')\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "the dose defaults to 0.1- what happens if we change it too?\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "ca = osipi.aif_parker(t, BAT=0, dose=0.05)\n", - "plt.plot(t, ca, 'b-', label='BAT = 0s, dose = 0.05')\n", - "ca = osipi.aif_parker(t, BAT=30, dose=0.1)\n", - "plt.plot(t, ca, 'r-', label='BAT = 30s, dose = 0.1')\n", - "ca = osipi.aif_parker(t, BAT=60, dose=0.2)\n", - "plt.plot(t, ca, 'g-', label='BAT = 60s, dose = 0.2')\n", - "ca = osipi.aif_parker(t, BAT=90, dose=0.3)\n", - "plt.plot(t, ca, 'm-', label='BAT = 90s, dose = 0.3')\n", - "plt.xlabel('Time (sec)')\n", - "plt.ylabel('Plasma concentration (mM)')\n", - "plt.legend()\n", - "plt.show()\n", - "\n", - "# Choose the last image as a thumbnail for the gallery\n", - "# sphinx_gallery_thumbnail_number = -1" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.10" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/source/generated/examples/aif/plot_aif_parker.py b/docs/source/generated/examples/aif/plot_aif_parker.py index 9e30887..6e9765d 100644 --- a/docs/source/generated/examples/aif/plot_aif_parker.py +++ b/docs/source/generated/examples/aif/plot_aif_parker.py @@ -29,7 +29,7 @@ plt.show() # %% -# The bolus arrival time (BAT) defaults to 30s. What happens if we change it? Let's try, by changing it in steps of 30s: +# The bolus arrival time (BAT) defaults to 0s. What happens if we change it? Let's try, by changing it in steps of 30s: ca = osipi.aif_parker(t, BAT=0) plt.plot(t, ca, 'b-', label='BAT = 0s') diff --git a/docs/source/generated/examples/aif/plot_aif_parker.py.md5 b/docs/source/generated/examples/aif/plot_aif_parker.py.md5 index e103f85..a5f80d8 100644 --- a/docs/source/generated/examples/aif/plot_aif_parker.py.md5 +++ b/docs/source/generated/examples/aif/plot_aif_parker.py.md5 @@ -1 +1 @@ -27f8a42f83c3ca01acbf898703895e18 \ No newline at end of file +189f17d69c202b69aa808b545487130d \ No newline at end of file diff --git a/docs/source/generated/examples/aif/plot_aif_parker.rst b/docs/source/generated/examples/aif/plot_aif_parker.rst index c22efca..64644db 100644 --- a/docs/source/generated/examples/aif/plot_aif_parker.rst +++ b/docs/source/generated/examples/aif/plot_aif_parker.rst @@ -2,7 +2,7 @@ .. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: -.. "generated\examples\aif\plot_aif_parker.py" +.. "generated/examples/aif/plot_aif_parker.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html @@ -79,7 +79,7 @@ Generate synthetic AIF with default settings and plot the result. .. GENERATED FROM PYTHON SOURCE LINES 32-33 -The bolus arrival time (BAT) defaults to 30s. What happens if we change it? Let's try, by changing it in steps of 30s: +The bolus arrival time (BAT) defaults to 0s. What happens if we change it? Let's try, by changing it in steps of 30s: .. GENERATED FROM PYTHON SOURCE LINES 33-47 @@ -150,7 +150,7 @@ the dose defaults to 0.1- what happens if we change it too? .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.648 seconds) + **Total running time of the script:** (0 minutes 0.179 seconds) .. _sphx_glr_download_generated_examples_aif_plot_aif_parker.py: diff --git a/docs/source/generated/examples/aif/plot_aif_parker_codeobj.pickle b/docs/source/generated/examples/aif/plot_aif_parker_codeobj.pickle index 97b4bf993a3002b07e68616287ddd7adbcef271f..5b2b985c79a0b2addd9d03b393bcbdeff8da34d8 100644 GIT binary patch delta 107 zcmaFJ{*Zk_`{XQU-HF@yCNE{Sn#9O9u}5pN0VDs!qc)T6n3XtHGI%;OcsolICucD^ zGHOm}Os;0sXLO#t8Yp&y$&}G&G9R-Vw?9;K HYN;Loc77q7 delta 95 zcmV-l0HFWj2jK^hhmrj+0TPof0ZNhs1(Ov5Dw8Y$50g#;Jdy)10VII>f+8&~jUc6jNH>UdNq0yi-6@=P z>-T+U?|t^(XN)t>ALozrj=_sRo`>hY@9SFET64}d7yeJ=B?<7z@K7iefwYvE5(Lu;2WR4xSGAPm7%@U3tIz}+zWeab1Qpu6FnM716w;2D@#rm9u{^c 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+ +.. only:: html + + .. image:: /generated/examples/aif/images/thumb/sphx_glr_plot_dummy_thumb.png + :alt: + + :ref:`sphx_glr_generated_examples_aif_plot_dummy.py` + +.. raw:: html + +
A dummy script
+
+ + +.. only:: not html + + * :ref:`sphx_glr_generated_examples_aif_plot_dummy.py` + .. raw:: html
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zjbjuMw2ux4Jt!?@tVApe$s;;~Vb<0y>F-%ZhoSUkE|m9$S|TW-B;7GB|AzrXMhf9C zc!gvN7xPQyuRn_r5g7}gG>ffaQJ}n!c0Z=Tquk00+jT!6ANhV-_s0QNXp$%~TnQ(c z18*LC(^`F={GeO6YSN3eBb`k+%311zaZJk#)!8#zSBy_^oj%7a{wg;Cj558-*h^hZu6p9#w6l^fv*W)V(W>hJ diff --git a/docs/source/generated/examples/tissue/plot_tofts.ipynb b/docs/source/generated/examples/tissue/plot_tofts.ipynb index 76e0f50..78adaef 100644 --- a/docs/source/generated/examples/tissue/plot_tofts.ipynb +++ b/docs/source/generated/examples/tissue/plot_tofts.ipynb @@ -58,7 +58,7 @@ }, "outputs": [], "source": [ - "Ktrans = [0.05, 0.2, 0.6] # in units of 1/min\nve = 0.2 # volume fraction between 0 and 1\nct = osipi.tofts(t, ca, Ktrans[0], ve)\nplt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min')\nct = osipi.tofts(t, ca, Ktrans[1], ve)\nplt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[1]} /min')\nct = osipi.tofts(t, ca, Ktrans[2], ve)\nplt.plot(t, ct, 'm-', label=f'Ktrans = {Ktrans[2]} /min')\nplt.xlabel('Time (sec)')\nplt.ylabel('Tissue concentration (mM)')\nplt.legend()\nplt.show()" + "Ktrans = [0.05, 0.2, 0.6] # in units of 1/min\nve = 0.2 # volume fraction between 0 and 1\nct = osipi.tofts(t, ca, Ktrans=Ktrans[0], ve=ve)\nplt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min')\nct = osipi.tofts(t, ca, Ktrans[1], ve)\nplt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[1]} /min')\nct = osipi.tofts(t, ca, Ktrans[2], ve)\nplt.plot(t, ct, 'm-', label=f'Ktrans = {Ktrans[2]} /min')\nplt.xlabel('Time (sec)')\nplt.ylabel('Tissue concentration (mM)')\nplt.legend()\nplt.show()" ] }, { @@ -76,7 +76,7 @@ }, "outputs": [], "source": [ - "ct = osipi.tofts(t, ca, Ktrans[1], ve) # Defaults to Convolution\nplt.plot(t, ct, 'b-', label='Convolution')\nct = osipi.tofts(t, ca, Ktrans[1], ve, discretization_method='exp_conv')\nplt.plot(t, ct, 'g-', label='Exponential Convolution')\nplt.title(f'Ktrans = {Ktrans[1]} /min')\nplt.xlabel('Time (sec)')\nplt.ylabel('Tissue concentration (mM)')\nplt.legend()\nplt.show()\n\n# Choose the last image as a thumbnail for the gallery\n# sphinx_gallery_thumbnail_number = -1" + "ct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve) # Defaults to Convolution\nplt.plot(t, ct, 'b-', label='Convolution')\nct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve, discretization_method='exp')\nplt.plot(t, ct, 'g-', label='Exponential Convolution')\nplt.title(f'Ktrans = {Ktrans[1]} /min')\nplt.xlabel('Time (sec)')\nplt.ylabel('Tissue concentration (mM)')\nplt.legend()\nplt.show()\n\n# Choose the last image as a thumbnail for the gallery\n# sphinx_gallery_thumbnail_number = -1" ] } ], diff --git a/docs/source/generated/examples/tissue/plot_tofts.py b/docs/source/generated/examples/tissue/plot_tofts.py index 7438abc..f4695f7 100644 --- a/docs/source/generated/examples/tissue/plot_tofts.py +++ b/docs/source/generated/examples/tissue/plot_tofts.py @@ -24,8 +24,8 @@ # %% # Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 different transfer rate constants of 0.05, 0.2 and 0.6 /min Ktrans = [0.05, 0.2, 0.6] # in units of 1/min -ve = 0.2 # volume fraction between 0 and 1 -ct = osipi.tofts(t, ca, Ktrans[0], ve) +ve = 0.2 # volume fraction between 0 and 1 +ct = osipi.tofts(t, ca, Ktrans=Ktrans[0], ve=ve) plt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min') ct = osipi.tofts(t, ca, Ktrans[1], ve) plt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[1]} /min') @@ -38,9 +38,9 @@ # %% # Comparing different discretization methods for an extracellular volume fraction of 0.2 and Ktrans of 0.2 /min -ct = osipi.tofts(t, ca, Ktrans[1], ve) # Defaults to Convolution +ct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve) # Defaults to Convolution plt.plot(t, ct, 'b-', label='Convolution') -ct = osipi.tofts(t, ca, Ktrans[1], ve, discretization_method='exp_conv') +ct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve, discretization_method='exp') plt.plot(t, ct, 'g-', label='Exponential Convolution') plt.title(f'Ktrans = {Ktrans[1]} /min') plt.xlabel('Time (sec)') diff --git a/docs/source/generated/examples/tissue/plot_tofts.py.md5 b/docs/source/generated/examples/tissue/plot_tofts.py.md5 index 0a7a625..bb808f9 100644 --- a/docs/source/generated/examples/tissue/plot_tofts.py.md5 +++ b/docs/source/generated/examples/tissue/plot_tofts.py.md5 @@ -1 +1 @@ -39e62365bb1c0617766eccef1287996a \ No newline at end of file +da5d5f6b6542dffbd8e56a96e9b8967a \ No newline at end of file diff --git a/docs/source/generated/examples/tissue/plot_tofts.rst b/docs/source/generated/examples/tissue/plot_tofts.rst index 2fe6f30..1f3058d 100644 --- a/docs/source/generated/examples/tissue/plot_tofts.rst +++ b/docs/source/generated/examples/tissue/plot_tofts.rst @@ -74,8 +74,8 @@ Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 .. code-block:: default Ktrans = [0.05, 0.2, 0.6] # in units of 1/min - ve = 0.2 # volume fraction between 0 and 1 - ct = osipi.tofts(t, ca, Ktrans[0], ve) + ve = 0.2 # volume fraction between 0 and 1 + ct = osipi.tofts(t, ca, Ktrans=Ktrans[0], ve=ve) plt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min') ct = osipi.tofts(t, ca, Ktrans[1], ve) plt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[1]} /min') @@ -106,9 +106,9 @@ Comparing different discretization methods for an extracellular volume fraction .. code-block:: default - ct = osipi.tofts(t, ca, Ktrans[1], ve) # Defaults to Convolution + ct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve) # Defaults to Convolution plt.plot(t, ct, 'b-', label='Convolution') - ct = osipi.tofts(t, ca, Ktrans[1], ve, discretization_method='exp_conv') + ct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve, discretization_method='exp') plt.plot(t, ct, 'g-', label='Exponential Convolution') plt.title(f'Ktrans = {Ktrans[1]} /min') plt.xlabel('Time (sec)') @@ -133,7 +133,7 @@ Comparing different discretization methods for an extracellular volume fraction .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 0.184 seconds) + **Total running time of the script:** (0 minutes 0.168 seconds) .. _sphx_glr_download_generated_examples_tissue_plot_tofts.py: diff --git a/docs/source/generated/examples/tissue/plot_tofts_codeobj.pickle b/docs/source/generated/examples/tissue/plot_tofts_codeobj.pickle index 7c56219b4b3dbee6b0d1935f650f655084287c0d..fd1fd24b7b39b206a219a6918e2d1e8e59e42625 100644 GIT binary patch delta 233 zcmdnTwU29p9v5dpPKjPgW=T%!M60C9*O=@lzSLqAn=HcUHQA9#kyAc{r!#}MvovvX zETbNy%H$qKkI4eetdmVyv>0_KC$M-;&S6sGG=r<+XEtE8p6tNvHF*__DWl8e2P|rg z?vopt%@}@3V05 zCH8RV7iSh^>XqcDl@w2WucDg+RbM+rBZIw%6)Zj_gR_SftZqsMcSb%`MQW)Y0EaV5 AEC2ui delta 231 zcmdnTwU29p-sFcY!V~SI<@3`@il=07_ORv`XBK2m$>7cq$l&SB;O#6;?O{qzoE*R? zFDeQZN$lY&$SKjQ%t=g2&6&J_Nrh2rG7F>Enp.n return pop_aif -def aif_georgiou(t:np.ndarray, BAT:float=30.0)->np.ndarray: +def aif_georgiou(t:np.ndarray, BAT:float=0.0)->np.ndarray: """AIF model as defined by Georgiou et al. Note: @@ -77,7 +77,7 @@ def aif_georgiou(t:np.ndarray, BAT:float=30.0)->np.ndarray: Args: t (np.ndarray): array of time points in units of sec. [OSIPI code Q.GE1.004] - BAT (float, optional): Time in seconds before the bolus arrives. Defaults to 30sec. [OSIPI code Q.BA1.001] + BAT (float, optional): Time in seconds before the bolus arrives. Defaults to 0sec. [OSIPI code Q.BA1.001] Returns: np.ndarray: Concentrations in mM for each time point in t. @@ -115,7 +115,7 @@ def aif_georgiou(t:np.ndarray, BAT:float=30.0)->np.ndarray: raise NotImplementedError(msg) -def aif_weinmann(t:np.ndarray, BAT:float=30.0)->np.ndarray: +def aif_weinmann(t:np.ndarray, BAT:float=0.0)->np.ndarray: """AIF model as defined by Weinmann et al. Note: @@ -123,7 +123,7 @@ def aif_weinmann(t:np.ndarray, BAT:float=30.0)->np.ndarray: Args: t (np.ndarray): array of time points in units of sec. [OSIPI code Q.GE1.004] - BAT (float, optional): Time in seconds before the bolus arrives. Defaults to 30sec. [OSIPI code Q.BA1.001] + BAT (float, optional): Time in seconds before the bolus arrives. Defaults to 0sec. [OSIPI code Q.BA1.001] Returns: np.ndarray: Concentrations in mM for each time point in t. diff --git a/src/osipi/_convolution.py b/src/osipi/_convolution.py index e435949..e4f3a3c 100644 --- a/src/osipi/_convolution.py +++ b/src/osipi/_convolution.py @@ -13,6 +13,7 @@ def exp_conv(T: float, t: np.ndarray, a: np.ndarray) -> np.ndarray: np.ndarray: convolved array """ + if T == 0: return a diff --git a/src/osipi/_tissue.py b/src/osipi/_tissue.py index 742db1c..6f5186b 100644 --- a/src/osipi/_tissue.py +++ b/src/osipi/_tissue.py @@ -35,7 +35,8 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: flo Example: - Create an array of time points covering 6min in steps of 1sec, calculate the Parker AIF at these time points and plot the results. + Create an array of time points covering 6min in steps of 1sec, calculate the Parker AIF at these time points, calculate tissue concentrations + using the Tofts model and plot the results. Import packages: @@ -60,7 +61,7 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: flo # Shift the AIF by the toff (if not zero) if t_off_min != 0: - f = interp1d(t, ca, kind='linear', bounds_error=False, fill_value=0) + f = interp1d(t_min, ca, kind='linear', bounds_error=False, fill_value=0) ca = (t_min > t_off_min) * f(t_min - t_off_min) if discretization_method == 'exp': # Use exponential convolution @@ -78,3 +79,61 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: flo ct = convolution[0:len(t_min)] * t_min[1] return ct + +def extended_tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: float = 30.0, + discretization_method: str = "conv") -> np.ndarray: + """Extended tofts model as defined by ???. + + Note: + This function is not yet implemented. If you are implementing it yourself please consider submitting a code contribution to OSIPI, so nobody ever has to write this function again! + + Args: + t (np.ndarray): array of time points in units of sec. [OSIPI code Q.GE1.004] + ca (np.ndarray): Arterial concentrations in mM for each time point in t. [OSIPI code Q.IC1.001] + Ktrans (float): Volume transfer constant in units of 1/min. [OSIPI code Q.PH1.008] + ve (float): Relative volume fraction of the extracellular extravascular compartment (e). [OSIPI code Q.PH1.001.[e]] + t_offset (float, optional): Difference in onset time between tissue curve and aif in units of sec. Defaults to 30 seconds. [OSIPI code ????] + discretization_method (str, optional): Defines the discretization method. Options include + + – 'conv': Numerical convolution (default) [OSIPI code G.DI1.001] + + – 'exp': Exponential convolution [OSIPI code G.DI1.006] + + + Returns: + np.ndarray: Tissue concentrations in mM for each time point in t. + + See Also: + 'tofts' + + References: + - Lexicon url: https://osipi.github.io/OSIPI_CAPLEX/perfusionModels/#indicator-kinetic-models + - Lexicon code: M.IC1.004 + - OSIPI name: Extended Tofts Model + - Adapted from contributions by: TBC + + Example: + + Create an array of time points covering 6min in steps of 1sec, calculate the Parker AIF at these time points, calculate tissue concentrations + using the Extended Tofts model and plot the results. + + Import packages: + + >>> import matplotlib.pyplot as plt + >>> import osipi + + Calculate AIF + + >>> t = np.arange(0, 6*60, 0.1) + >>> ca = osipi.aif_parker(t) + + Calculate tissue concentrations and plot + >>> Ktrans = 0.6 # in units of 1/min + >>> ve = 0.2 # takes values from 0 to 1 + >>> ct = osipi.extended_tofts(t, ca, Ktrans, ve) + >>> plt.plot(t, ca, 'r', t, ct, 'b') + """ + + msg = 'This function is not yet implemented \n' + msg += 'If you implement it yourself, please consider submitting it as an OSIPI code contribution' + raise NotImplementedError(msg) \ No newline at end of file diff --git a/tests/test_tissue.py b/tests/test_tissue.py index f77d53a..f5b1322 100644 --- a/tests/test_tissue.py +++ b/tests/test_tissue.py @@ -1,7 +1,6 @@ import numpy as np import osipi import math -import matplotlib.pyplot as plt def test_tissue_tofts(): Ktrans = 0.6 @@ -28,10 +27,24 @@ def test_tissue_tofts(): assert math.isclose(np.trapz(ct_conv, t)/np.trapz(ca, t), ve, abs_tol=1e-1) assert math.isclose(np.trapz(ct_exp, t)/np.trapz(ca, t), ve, abs_tol=1e-1) +def test_tissue_extended_tofts(): + + # Not implemented yet so need to raise an error + Ktrans = 0.6 + ve = 0.2 + t = np.arange(0, 6 * 60, 0.01) + ca = osipi.aif_parker(t) + try: + ct = osipi.extended_tofts(t, ca, Ktrans=Ktrans, ve=ve) + except: + assert True + else: + assert False if __name__ == "__main__": test_tissue_tofts() + test_tissue_extended_tofts() print('All tissue concentration model tests passed!!') From 1ee1a91bb18f11fd265a73122fcf74ec93edcb37 Mon Sep 17 00:00:00 2001 From: stadmill Date: Wed, 8 Nov 2023 11:39:23 +1100 Subject: [PATCH 10/20] Updated tofts model definition added lexicon code for arterial delay time --- docs/.DS_Store | Bin 0 -> 6148 bytes docs/source/generated/backreferences/.DS_Store | Bin 0 -> 6148 bytes src/.DS_Store | Bin 0 -> 6148 bytes src/osipi/_tissue.py | 6 +++--- 4 files changed, 3 insertions(+), 3 deletions(-) create mode 100644 docs/.DS_Store create mode 100644 docs/source/generated/backreferences/.DS_Store create mode 100644 src/.DS_Store diff --git a/docs/.DS_Store b/docs/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..b8af6b35dd43078f3955c11e4fbadf56a40f2759 GIT binary patch literal 6148 zcmeHKI|>3Z5S>vG!N$@uSMUZw^aOhWLB&QC6s@=NTprCgpGH?ZZR8D1UNV`NkXP*N zh=|TFo0-T&L`HB!x!KS)+c)o6FCz+si0p zwti-h{ zq5pp-aYY5Fz+Wk#gGIBL<4IXtJCCzkTi`3W<=o+Bm^%f7mt&xpV=Sy3PdzE}ip{ZK V6Wc(iBkpt{e+En!8Ws4p0uQpU6`%kB literal 0 HcmV?d00001 diff --git a/docs/source/generated/backreferences/.DS_Store b/docs/source/generated/backreferences/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6 GIT binary patch literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0S5Z<+|-BN@c6nb3nTCmzGh?fxS3mDOZN=-=7V9b^#wTDv3SzpK}@p+ut z-9U@Mqlle>-EVe&b~7Jje;8xjn?;9=IgBv@4UwZ#A!x32ZP{Q%uIGruc{T|X6;@31 zH%<8M4W?MeVm4u`-~SO#k~qtIy-&VXt2efrqAA+q-hWbaKM(R*<^|JR99=1ugry#Y z*YS8ha(2&Eng?+@p6Y}+8biq4O`Jw*?x|TCWjfb44$%^=k<(c$`h#9q9uNAl|F*C%qSxXi2-7O7$62V zlL31ki1ucdPgN5G#J~>>;Qkj&BJ>Y0rRo zmD?uy=?1yK?z>;d*tjOC8R*Ymjo Date: Mon, 22 Jan 2024 10:38:18 +1100 Subject: [PATCH 11/20] Updated aif and tofts Removed dose as aif input Corrected units of inputs to tofts --- docs/examples/aif/plot_aif_parker.py | 16 --- docs/examples/aif/plot_dummy.py | 16 --- docs/examples/tissue/plot_tofts.py | 14 +-- docs/source/{generated/api => }/.DS_Store | Bin docs/source/generated/.DS_Store | Bin 6148 -> 6148 bytes .../source/generated/backreferences/.DS_Store | Bin 6148 -> 0 bytes .../backreferences/osipi.aif_parker.examples | 42 ++++++++ .../images/sphx_glr_plot_aif_parker_003.png | Bin 39771 -> 0 bytes .../aif/images/sphx_glr_plot_dummy_001.png | Bin 17948 -> 17375 bytes .../aif/images/sphx_glr_plot_dummy_002.png | Bin 38164 -> 37722 bytes .../aif/images/sphx_glr_plot_dummy_003.png | Bin 39567 -> 0 bytes .../thumb/sphx_glr_plot_aif_parker_thumb.png | Bin 28627 -> 27173 bytes .../thumb/sphx_glr_plot_dummy_thumb.png | Bin 28707 -> 27173 bytes .../examples/aif/plot_aif_parker.ipynb | 20 +--- .../generated/examples/aif/plot_aif_parker.py | 16 --- .../examples/aif/plot_aif_parker.py.md5 | 2 +- .../examples/aif/plot_aif_parker.rst | 42 +------- .../aif/plot_aif_parker_codeobj.pickle | Bin 993 -> 993 bytes .../generated/examples/aif/plot_dummy.ipynb | 22 +--- .../generated/examples/aif/plot_dummy.py | 16 --- .../generated/examples/aif/plot_dummy.py.md5 | 2 +- .../generated/examples/aif/plot_dummy.rst | 44 +------- .../examples/aif/plot_dummy_codeobj.pickle | Bin 993 -> 993 bytes .../examples/aif/sg_execution_times.rst | 6 +- .../tissue/images/sphx_glr_plot_tofts_001.png | Bin 40052 -> 40042 bytes .../tissue/images/sphx_glr_plot_tofts_002.png | Bin 33872 -> 34411 bytes .../thumb/sphx_glr_plot_tofts_thumb.png | Bin 23673 -> 23981 bytes .../examples/tissue/plot_tofts.ipynb | 6 +- .../generated/examples/tissue/plot_tofts.py | 14 +-- .../examples/tissue/plot_tofts.py.md5 | 2 +- .../generated/examples/tissue/plot_tofts.rst | 16 +-- .../examples/tissue/plot_tofts_codeobj.pickle | Bin 1342 -> 1342 bytes .../examples/tissue/sg_execution_times.rst | 4 +- docs/source/user_guide/forward/forward.rst | 2 +- requirements.txt | 3 +- src/osipi/_aif.py | 9 +- src/osipi/_tissue.py | 96 ++++++++++++------ tests/test_tissue.py | 49 +++++---- 38 files changed, 186 insertions(+), 273 deletions(-) rename docs/source/{generated/api => }/.DS_Store (100%) delete mode 100644 docs/source/generated/backreferences/.DS_Store delete mode 100644 docs/source/generated/examples/aif/images/sphx_glr_plot_aif_parker_003.png delete mode 100644 docs/source/generated/examples/aif/images/sphx_glr_plot_dummy_003.png diff --git a/docs/examples/aif/plot_aif_parker.py b/docs/examples/aif/plot_aif_parker.py index 6e9765d..4f3a82d 100644 --- a/docs/examples/aif/plot_aif_parker.py +++ b/docs/examples/aif/plot_aif_parker.py @@ -44,21 +44,5 @@ plt.legend() plt.show() -# %% -# the dose defaults to 0.1- what happens if we change it too? - -ca = osipi.aif_parker(t, BAT=0, dose=0.05) -plt.plot(t, ca, 'b-', label='BAT = 0s, dose = 0.05') -ca = osipi.aif_parker(t, BAT=30, dose=0.1) -plt.plot(t, ca, 'r-', label='BAT = 30s, dose = 0.1') -ca = osipi.aif_parker(t, BAT=60, dose=0.2) -plt.plot(t, ca, 'g-', label='BAT = 60s, dose = 0.2') -ca = osipi.aif_parker(t, BAT=90, dose=0.3) -plt.plot(t, ca, 'm-', label='BAT = 90s, dose = 0.3') -plt.xlabel('Time (sec)') -plt.ylabel('Plasma concentration (mM)') -plt.legend() -plt.show() - # Choose the last image as a thumbnail for the gallery # sphinx_gallery_thumbnail_number = -1 diff --git a/docs/examples/aif/plot_dummy.py b/docs/examples/aif/plot_dummy.py index 9069e41..1f4d326 100644 --- a/docs/examples/aif/plot_dummy.py +++ b/docs/examples/aif/plot_dummy.py @@ -44,21 +44,5 @@ plt.legend() plt.show() -# %% -# the dose defaults to 0.1- what happens if we change it too? - -ca = osipi.aif_parker(t, BAT=0, dose=0.05) -plt.plot(t, ca, 'b-', label='BAT = 0s, dose = 0.05') -ca = osipi.aif_parker(t, BAT=30, dose=0.1) -plt.plot(t, ca, 'r-', label='BAT = 30s, dose = 0.1') -ca = osipi.aif_parker(t, BAT=60, dose=0.2) -plt.plot(t, ca, 'g-', label='BAT = 60s, dose = 0.2') -ca = osipi.aif_parker(t, BAT=90, dose=0.3) -plt.plot(t, ca, 'm-', label='BAT = 90s, dose = 0.3') -plt.xlabel('Time (sec)') -plt.ylabel('Plasma concentration (mM)') -plt.legend() -plt.show() - # Choose the last image as a thumbnail for the gallery # sphinx_gallery_thumbnail_number = -1 diff --git a/docs/examples/tissue/plot_tofts.py b/docs/examples/tissue/plot_tofts.py index f4695f7..1102a44 100644 --- a/docs/examples/tissue/plot_tofts.py +++ b/docs/examples/tissue/plot_tofts.py @@ -15,8 +15,8 @@ # %% # Generate Parker AIF with default settings. -# Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes. -t = np.arange(0, 6*60, 0.5) +# Define time points in units of seconds - in this case we use a time resolution of 1 sec and a total duration of 6 minutes. +t = np.arange(0, 6*60, 1) # Create an AIF with default settings ca = osipi.aif_parker(t) @@ -25,11 +25,11 @@ # Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 different transfer rate constants of 0.05, 0.2 and 0.6 /min Ktrans = [0.05, 0.2, 0.6] # in units of 1/min ve = 0.2 # volume fraction between 0 and 1 -ct = osipi.tofts(t, ca, Ktrans=Ktrans[0], ve=ve) +ct = osipi.tofts(t, ca, Ktrans=Ktrans[0]/60, ve=ve) plt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min') -ct = osipi.tofts(t, ca, Ktrans[1], ve) +ct = osipi.tofts(t, ca, Ktrans[1]/60, ve) plt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[1]} /min') -ct = osipi.tofts(t, ca, Ktrans[2], ve) +ct = osipi.tofts(t, ca, Ktrans[2]/60, ve) plt.plot(t, ct, 'm-', label=f'Ktrans = {Ktrans[2]} /min') plt.xlabel('Time (sec)') plt.ylabel('Tissue concentration (mM)') @@ -38,9 +38,9 @@ # %% # Comparing different discretization methods for an extracellular volume fraction of 0.2 and Ktrans of 0.2 /min -ct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve) # Defaults to Convolution +ct = osipi.tofts(t, ca, Ktrans=Ktrans[1]/60, ve=ve) # Defaults to Convolution plt.plot(t, ct, 'b-', label='Convolution') -ct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve, discretization_method='exp') +ct = osipi.tofts(t, ca, Ktrans=Ktrans[1]/60, ve=ve, discretization_method='exp') plt.plot(t, ct, 'g-', label='Exponential Convolution') plt.title(f'Ktrans = {Ktrans[1]} /min') plt.xlabel('Time (sec)') diff --git a/docs/source/generated/api/.DS_Store b/docs/source/.DS_Store similarity index 100% rename from docs/source/generated/api/.DS_Store rename to docs/source/.DS_Store diff --git a/docs/source/generated/.DS_Store b/docs/source/generated/.DS_Store index 44667197b5bc6fdeed49c48925575c9769e889d2..03558c47a9d07d9d2f3a6587a28feab3e515042d 100644 GIT binary patch literal 6148 zcmeHKT~5O=40hH5<40&uh{s%EHz-qiN7@CT+xXF1T7i&w?1kVKJaZIw1U|>nXvn(p zgb=bN=Sv+salTIVOhjhjlE-m~xyrr3F3EoUWma z_pr?AG0bA`V4MH9+{&fow(*Rz3NrptOn48=_ZT4GXWXO&dqtG{&ii7WPe;DdUL83` zenDQlOU_G08Bhk4fo%++X0r?q1$9&glmTU6#Q=XFER-?z*a*5$2L{&y0Q)dI!JK;u zj-|!Xji7{+@y&B`mF;Q%yo}wrd0|Nsi1A_oVaY0f}eiD$kBdK6w;_}G`A}saH42cW{ z44Fyg$dWmk#U%y?*BF_YSyuu5=%;pof3QQbfW)H`Lt zMR_^-dFenA#?23z)mS!vVE)LsnVo~50~jtqk?+it`9&-_Kw5#uF>MYI*}@C}9LiBH diff --git a/docs/source/generated/backreferences/.DS_Store b/docs/source/generated/backreferences/.DS_Store deleted file mode 100644 index 5008ddfcf53c02e82d7eee2e57c38e5672ef89f6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0 +.. raw:: html + +

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a/docs/source/generated/examples/tissue/plot_tofts.ipynb b/docs/source/generated/examples/tissue/plot_tofts.ipynb index 78adaef..7f8f17c 100644 --- a/docs/source/generated/examples/tissue/plot_tofts.ipynb +++ b/docs/source/generated/examples/tissue/plot_tofts.ipynb @@ -40,7 +40,7 @@ }, "outputs": [], "source": [ - "# Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes.\nt = np.arange(0, 6*60, 0.5)\n\n# Create an AIF with default settings\nca = osipi.aif_parker(t)" + "# Define time points in units of seconds - in this case we use a time resolution of 1 sec and a total duration of 6 minutes.\nt = np.arange(0, 6*60, 1)\n\n# Create an AIF with default settings\nca = osipi.aif_parker(t)" ] }, { @@ -58,7 +58,7 @@ }, "outputs": [], "source": [ - "Ktrans = [0.05, 0.2, 0.6] # in units of 1/min\nve = 0.2 # volume fraction between 0 and 1\nct = osipi.tofts(t, ca, Ktrans=Ktrans[0], ve=ve)\nplt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min')\nct = osipi.tofts(t, ca, Ktrans[1], ve)\nplt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[1]} /min')\nct = osipi.tofts(t, ca, Ktrans[2], ve)\nplt.plot(t, ct, 'm-', label=f'Ktrans = {Ktrans[2]} /min')\nplt.xlabel('Time (sec)')\nplt.ylabel('Tissue concentration (mM)')\nplt.legend()\nplt.show()" + "Ktrans = [0.05, 0.2, 0.6] # in units of 1/min\nve = 0.2 # volume fraction between 0 and 1\nct = osipi.tofts(t, ca, Ktrans=Ktrans[0]/60, ve=ve)\nplt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min')\nct = osipi.tofts(t, ca, Ktrans[1]/60, ve)\nplt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[1]} /min')\nct = osipi.tofts(t, ca, Ktrans[2]/60, ve)\nplt.plot(t, ct, 'm-', label=f'Ktrans = {Ktrans[2]} /min')\nplt.xlabel('Time (sec)')\nplt.ylabel('Tissue concentration (mM)')\nplt.legend()\nplt.show()" ] }, { @@ -76,7 +76,7 @@ }, "outputs": [], "source": [ - "ct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve) # Defaults to Convolution\nplt.plot(t, ct, 'b-', label='Convolution')\nct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve, discretization_method='exp')\nplt.plot(t, ct, 'g-', label='Exponential Convolution')\nplt.title(f'Ktrans = {Ktrans[1]} /min')\nplt.xlabel('Time (sec)')\nplt.ylabel('Tissue concentration (mM)')\nplt.legend()\nplt.show()\n\n# Choose the last image as a thumbnail for the gallery\n# sphinx_gallery_thumbnail_number = -1" + "ct = osipi.tofts(t, ca, Ktrans=Ktrans[1]/60, ve=ve) # Defaults to Convolution\nplt.plot(t, ct, 'b-', label='Convolution')\nct = osipi.tofts(t, ca, Ktrans=Ktrans[1]/60, ve=ve, discretization_method='exp')\nplt.plot(t, ct, 'g-', label='Exponential Convolution')\nplt.title(f'Ktrans = {Ktrans[1]} /min')\nplt.xlabel('Time (sec)')\nplt.ylabel('Tissue concentration (mM)')\nplt.legend()\nplt.show()\n\n# Choose the last image as a thumbnail for the gallery\n# sphinx_gallery_thumbnail_number = -1" ] } ], diff --git a/docs/source/generated/examples/tissue/plot_tofts.py b/docs/source/generated/examples/tissue/plot_tofts.py index f4695f7..1102a44 100644 --- a/docs/source/generated/examples/tissue/plot_tofts.py +++ b/docs/source/generated/examples/tissue/plot_tofts.py @@ -15,8 +15,8 @@ # %% # Generate Parker AIF with default settings. -# Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes. -t = np.arange(0, 6*60, 0.5) +# Define time points in units of seconds - in this case we use a time resolution of 1 sec and a total duration of 6 minutes. +t = np.arange(0, 6*60, 1) # Create an AIF with default settings ca = osipi.aif_parker(t) @@ -25,11 +25,11 @@ # Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 different transfer rate constants of 0.05, 0.2 and 0.6 /min Ktrans = [0.05, 0.2, 0.6] # in units of 1/min ve = 0.2 # volume fraction between 0 and 1 -ct = osipi.tofts(t, ca, Ktrans=Ktrans[0], ve=ve) +ct = osipi.tofts(t, ca, Ktrans=Ktrans[0]/60, ve=ve) plt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min') -ct = osipi.tofts(t, ca, Ktrans[1], ve) +ct = osipi.tofts(t, ca, Ktrans[1]/60, ve) plt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[1]} /min') -ct = osipi.tofts(t, ca, Ktrans[2], ve) +ct = osipi.tofts(t, ca, Ktrans[2]/60, ve) plt.plot(t, ct, 'm-', label=f'Ktrans = {Ktrans[2]} /min') plt.xlabel('Time (sec)') plt.ylabel('Tissue concentration (mM)') @@ -38,9 +38,9 @@ # %% # Comparing different discretization methods for an extracellular volume fraction of 0.2 and Ktrans of 0.2 /min -ct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve) # Defaults to Convolution +ct = osipi.tofts(t, ca, Ktrans=Ktrans[1]/60, ve=ve) # Defaults to Convolution plt.plot(t, ct, 'b-', label='Convolution') -ct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve, discretization_method='exp') +ct = osipi.tofts(t, ca, Ktrans=Ktrans[1]/60, ve=ve, discretization_method='exp') plt.plot(t, ct, 'g-', label='Exponential Convolution') plt.title(f'Ktrans = {Ktrans[1]} /min') plt.xlabel('Time (sec)') diff --git a/docs/source/generated/examples/tissue/plot_tofts.py.md5 b/docs/source/generated/examples/tissue/plot_tofts.py.md5 index bb808f9..1965079 100644 --- a/docs/source/generated/examples/tissue/plot_tofts.py.md5 +++ b/docs/source/generated/examples/tissue/plot_tofts.py.md5 @@ -1 +1 @@ -da5d5f6b6542dffbd8e56a96e9b8967a \ No newline at end of file +e0db28770502e14aee3f0063d26bed4e \ No newline at end of file diff --git a/docs/source/generated/examples/tissue/plot_tofts.rst b/docs/source/generated/examples/tissue/plot_tofts.rst index 1f3058d..937a094 100644 --- a/docs/source/generated/examples/tissue/plot_tofts.rst +++ b/docs/source/generated/examples/tissue/plot_tofts.rst @@ -52,8 +52,8 @@ Generate Parker AIF with default settings. .. code-block:: default - # Define time points in units of seconds - in this case we use a time resolution of 0.5 sec and a total duration of 6 minutes. - t = np.arange(0, 6*60, 0.5) + # Define time points in units of seconds - in this case we use a time resolution of 1 sec and a total duration of 6 minutes. + t = np.arange(0, 6*60, 1) # Create an AIF with default settings ca = osipi.aif_parker(t) @@ -75,11 +75,11 @@ Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 Ktrans = [0.05, 0.2, 0.6] # in units of 1/min ve = 0.2 # volume fraction between 0 and 1 - ct = osipi.tofts(t, ca, Ktrans=Ktrans[0], ve=ve) + ct = osipi.tofts(t, ca, Ktrans=Ktrans[0]/60, ve=ve) plt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min') - ct = osipi.tofts(t, ca, Ktrans[1], ve) + ct = osipi.tofts(t, ca, Ktrans[1]/60, ve) plt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[1]} /min') - ct = osipi.tofts(t, ca, Ktrans[2], ve) + ct = osipi.tofts(t, ca, Ktrans[2]/60, ve) plt.plot(t, ct, 'm-', label=f'Ktrans = {Ktrans[2]} /min') plt.xlabel('Time (sec)') plt.ylabel('Tissue concentration (mM)') @@ -106,9 +106,9 @@ Comparing different discretization methods for an extracellular volume fraction .. code-block:: default - ct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve) # Defaults to Convolution + ct = osipi.tofts(t, ca, Ktrans=Ktrans[1]/60, ve=ve) # Defaults to Convolution plt.plot(t, ct, 'b-', label='Convolution') - ct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve, discretization_method='exp') + ct = osipi.tofts(t, ca, Ktrans=Ktrans[1]/60, ve=ve, discretization_method='exp') plt.plot(t, ct, 'g-', label='Exponential Convolution') plt.title(f'Ktrans = {Ktrans[1]} /min') plt.xlabel('Time (sec)') @@ -133,7 +133,7 @@ Comparing different discretization methods for an extracellular volume fraction .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 0.168 seconds) + **Total running time of the script:** (0 minutes 0.097 seconds) .. _sphx_glr_download_generated_examples_tissue_plot_tofts.py: diff --git a/docs/source/generated/examples/tissue/plot_tofts_codeobj.pickle b/docs/source/generated/examples/tissue/plot_tofts_codeobj.pickle index fd1fd24b7b39b206a219a6918e2d1e8e59e42625..e4ba1175def4b855b4fd109a26607d8704575ae9 100644 GIT binary patch delta 224 zcmdnTwU29po+e|-l-Mb?Q#5*5@)C1Xr}VJrr6d*=C00)9Vav@=Da`>2vF4TL7F145 z(PK^QVM2`5OINO2U?uL-osjwpH@;lIhI+1i?bl7M6V>X zBqw$90wxtUAF#TK6I>>jGV4y}W8s**irI1Udq#c6xXJQN-jm-jD>0@|wr25U%$eNE NqQspKH8-_X4*=B{NHqWe delta 213 zcmdnTwU29po*8FBPKjPgW=T%!l-Ma6wNo^DSn?8cQ>XNBq?P6+mt^MWP3d9F%}*%> zD(K-zD$UF($;>OB7_K+DklAT+Dw95=*yO29UQCQ76T9RYsI diff --git a/docs/source/generated/examples/tissue/sg_execution_times.rst b/docs/source/generated/examples/tissue/sg_execution_times.rst index a6bfcda..373c519 100644 --- a/docs/source/generated/examples/tissue/sg_execution_times.rst +++ b/docs/source/generated/examples/tissue/sg_execution_times.rst @@ -6,8 +6,8 @@ Computation times ================= -**00:00.168** total execution time for **generated_examples_tissue** files: +**00:00.097** total execution time for **generated_examples_tissue** files: +-----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_generated_examples_tissue_plot_tofts.py` (``plot_tofts.py``) | 00:00.168 | 0.0 MB | +| :ref:`sphx_glr_generated_examples_tissue_plot_tofts.py` (``plot_tofts.py``) | 00:00.097 | 0.0 MB | +-----------------------------------------------------------------------------+-----------+--------+ diff --git a/docs/source/user_guide/forward/forward.rst b/docs/source/user_guide/forward/forward.rst index b2b793c..894964e 100644 --- a/docs/source/user_guide/forward/forward.rst +++ b/docs/source/user_guide/forward/forward.rst @@ -31,7 +31,7 @@ Generate tissue concentration and plot it: ca = osipi.aif_parker(t) Ktrans = 0.6 ve = 0.2 - ct = osipi.tofts(t, ca, Ktrans=Ktrans, ve=ve) + ct = osipi.tofts(t, ca, Ktrans=Ktrans/60, ve=ve) plt.plot(t, ct) plt.show() diff --git a/requirements.txt b/requirements.txt index 5576e19..4a2a08b 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,2 +1,3 @@ numpy -scipy \ No newline at end of file +scipy +matplotlib \ No newline at end of file diff --git a/src/osipi/_aif.py b/src/osipi/_aif.py index 32c55fb..84e5d84 100644 --- a/src/osipi/_aif.py +++ b/src/osipi/_aif.py @@ -1,14 +1,13 @@ import numpy as np -def aif_parker(t:np.ndarray, BAT:float=0.0, Hct:float=0.0, dose:float=0.1)->np.ndarray: +def aif_parker(t:np.ndarray, BAT:float=0.0, Hct:float=0.0)->np.ndarray: """AIF model as defined by Parker et al (2005) Args: t (np.ndarray): array of time points in units of sec. [OSIPI code Q.GE1.004] BAT (float, optional): Time in seconds before the bolus arrives. Defaults to 0. [OSIPI code Q.BA1.001] Hct (float, optional): Hematocrit. Defaults to 0.0. [OSIPI code Q.PH1.012] - dose (float, optional): Injected contrast agent dose in units of [???]. Defaults to 0.1. [OSIPI code Q.IC1.999] Returns: np.ndarray: Concentrations in mM for each time point in t. @@ -25,7 +24,7 @@ def aif_parker(t:np.ndarray, BAT:float=0.0, Hct:float=0.0, dose:float=0.1)->np.n Example: - Create an array of time points covering 6min in steps of 1sec, calculate the Parker AIF at these time points and plot the results. + Create an array of time points covering 6 min in steps of 1 sec, calculate the Parker AIF at these time points and plot the results. Import packages: @@ -34,7 +33,7 @@ def aif_parker(t:np.ndarray, BAT:float=0.0, Hct:float=0.0, dose:float=0.1)->np.n Calculate AIF and plot - >>> t = np.arange(0, 6*60, 0.1) + >>> t = np.arange(0, 6*60, 1) >>> ca = osipi.aif_parker(t) >>> plt.plot(t,ca) >>> plt.show() @@ -63,7 +62,7 @@ def aif_parker(t:np.ndarray, BAT:float=0.0, Hct:float=0.0, dose:float=0.1)->np.n # alpha = 1.064, beta = 0.166, s = 37.772, tau = 0.482 sigmoid = 1.050 * np.exp(-0.1685 * t_offset) / (1.0 + np.exp(-38.078 * (t_offset - 0.483))) - pop_aif = ((dose / 0.1) * (gaussian1 + gaussian2 + sigmoid)) / \ + pop_aif = ((gaussian1 + gaussian2 + sigmoid)) / \ (1.0 - Hct) return pop_aif diff --git a/src/osipi/_tissue.py b/src/osipi/_tissue.py index 92e48f6..0a67d59 100644 --- a/src/osipi/_tissue.py +++ b/src/osipi/_tissue.py @@ -3,7 +3,7 @@ from ._convolution import exp_conv -def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: float = 30.0, +def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, Ta: float = 30.0, discretization_method: str = "conv") -> np.ndarray: """Tofts model as defined by Tofts and Kermode (1991) @@ -11,9 +11,9 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: flo Args: t (np.ndarray): array of time points in units of sec. [OSIPI code Q.GE1.004] ca (np.ndarray): Arterial concentrations in mM for each time point in t. [OSIPI code Q.IC1.001] - Ktrans (float): Volume transfer constant in units of 1/min. [OSIPI code Q.PH1.008] + Ktrans (float): Volume transfer constant in units of 1/sec. [OSIPI code Q.PH1.008] ve (float): Relative volume fraction of the extracellular extravascular compartment (e). [OSIPI code Q.PH1.001.[e]] - t_offset (float, optional): Arterial delay time, i.e., difference in onset time between tissue curve and AIF in units of sec. Defaults to 30 seconds. [OSIPI code Q.PH1.007] + Ta (float, optional): Arterial delay time, i.e., difference in onset time between tissue curve and AIF in units of sec. Defaults to 30 seconds. [OSIPI code Q.PH1.007] discretization_method (str, optional): Defines the discretization method. Options include – 'conv': Numerical convolution (default) [OSIPI code G.DI1.001] @@ -25,62 +25,91 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: flo np.ndarray: Tissue concentrations in mM for each time point in t. See Also: - 'extended_tofts' + `extended_tofts` References: - Lexicon url: https://osipi.github.io/OSIPI_CAPLEX/perfusionModels/#indicator-kinetic-models - Lexicon code: M.IC1.004 - OSIPI name: Tofts Model - - Adapted from contributions by: LEK_UoEdinburgh_UK, ST_USyd_AUS + - Adapted from contributions by: LEK_UoEdinburgh_UK, ST_USyd_AUS, MJT_UoEdinburgh_UK Example: - Create an array of time points covering 6min in steps of 1sec, calculate the Parker AIF at these time points, calculate tissue concentrations + Create an array of time points covering 6 min in steps of 1 sec, calculate the Parker AIF at these time points, calculate tissue concentrations using the Tofts model and plot the results. Import packages: >>> import matplotlib.pyplot as plt >>> import osipi + >>> import numpy - Calculate AIF + Calculate AIF: - >>> t = np.arange(0, 6*60, 0.1) + >>> t = np.arange(0, 6*60, 1) >>> ca = osipi.aif_parker(t) - Calculate tissue concentrations and plot - >>> Ktrans = 0.6 # in units of 1/min + Calculate tissue concentrations and plot: + >>> Ktrans = 0.6/60 # in units of 1/sec >>> ve = 0.2 # takes values from 0 to 1 >>> ct = osipi.tofts(t, ca, Ktrans, ve) >>> plt.plot(t, ca, 'r', t, ct, 'b') """ - # Convert from OSIPI units (sec) to mins - t_min = t / 60 - t_off_min = t_offset / 60 - - # Shift the AIF by the toff (if not zero) - if t_off_min != 0: - f = interp1d(t_min, ca, kind='linear', bounds_error=False, fill_value=0) - ca = (t_min > t_off_min) * f(t_min - t_off_min) + # Shift the AIF by the arterial delay time (if not zero) + if Ta != 0: + f = interp1d(t, ca, kind='linear', bounds_error=False, fill_value=0) + ca = (t > Ta) * f(t - Ta) if discretization_method == 'exp': # Use exponential convolution - Tc = ve / Ktrans - ct = ve * exp_conv(Tc, t_min, ca) + try: + Tc = ve / Ktrans + except ZeroDivisionError: + print('Division by zero error: Ktrans assigned 0') + ct = 0 * ca + else: + ct = ve * exp_conv(Tc, t, ca) else: # Use convolution by default # Calculate the impulse response function - imp = Ktrans * np.exp(-1 * Ktrans * t_min / ve) - - # Convolve impulse response with AIF - convolution = np.convolve(ca, imp) - - # Discard unwanted points and make sure time spacing is correct - ct = convolution[0:len(t_min)] * t_min[1] + try: + kep = Ktrans / ve + except ZeroDivisionError: + print('Division by zero: ve assigned 0') + ct = ca + else: + imp = Ktrans * np.exp(-1 * kep * t) + + # Check if time data grid is uniformly spaced + if np.allclose(np.diff(t), np.diff(t)[0]): + # Convolve impulse response with AIF + convolution = np.convolve(ca, imp) + + # Discard unwanted points and make sure time spacing is correct + ct = convolution[0:len(t)] * t[1] + else: + # Print WARNING - non-uniform time grid detected - resampling + # Resample at the smallest spacing + dt = np.min(np.diff(t)) + t_resampled = np.linspace(t[0], t[-1], int((t[-1]-t[0])/dt)) + ca_func = interp1d(t, ca, kind='quadratic', bounds_error=False, fill_value=0) + imp_func = interp1d(t, imp, kind='quadratic', bounds_error=False, fill_value=0) + ca_resampled = ca_func(t_resampled) + imp_resampled = imp_func(t_resampled) + # Convolve impulse response with AIF + convolution = np.convolve(ca_resampled, imp_resampled) + + # Discard unwanted points and make sure time spacing is correct + ct_resampled = convolution[0:len(t_resampled)] * t_resampled[1] + + # Restore time grid spacing + ct_func = interp1d(t_resampled, ct_resampled, kind='quadratic', bounds_error=False, fill_value=0) + ct = ct_func(t) return ct -def extended_tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_offset: float = 30.0, + +def extended_tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, Ta: float = 30.0, discretization_method: str = "conv") -> np.ndarray: """Extended tofts model as defined by ???. @@ -90,9 +119,9 @@ def extended_tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_of Args: t (np.ndarray): array of time points in units of sec. [OSIPI code Q.GE1.004] ca (np.ndarray): Arterial concentrations in mM for each time point in t. [OSIPI code Q.IC1.001] - Ktrans (float): Volume transfer constant in units of 1/min. [OSIPI code Q.PH1.008] + Ktrans (float): Volume transfer constant in units of 1/sec. [OSIPI code Q.PH1.008] ve (float): Relative volume fraction of the extracellular extravascular compartment (e). [OSIPI code Q.PH1.001.[e]] - t_offset (float, optional): Arterial delay time, i.e., difference in onset time between tissue curve and AIF in units of sec. Defaults to 30 seconds. [OSIPI code Q.PH1.007] + Ta (float, optional): Arterial delay time, i.e., difference in onset time between tissue curve and AIF in units of sec. Defaults to 30 seconds. [OSIPI code Q.PH1.007] discretization_method (str, optional): Defines the discretization method. Options include – 'conv': Numerical convolution (default) [OSIPI code G.DI1.001] @@ -104,7 +133,7 @@ def extended_tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_of np.ndarray: Tissue concentrations in mM for each time point in t. See Also: - 'tofts' + `tofts` References: - Lexicon url: https://osipi.github.io/OSIPI_CAPLEX/perfusionModels/#indicator-kinetic-models @@ -128,7 +157,7 @@ def extended_tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_of >>> ca = osipi.aif_parker(t) Calculate tissue concentrations and plot - >>> Ktrans = 0.6 # in units of 1/min + >>> Ktrans = 0.6/60 # in units of 1/sec >>> ve = 0.2 # takes values from 0 to 1 >>> ct = osipi.extended_tofts(t, ca, Ktrans, ve) >>> plt.plot(t, ca, 'r', t, ct, 'b') @@ -136,4 +165,5 @@ def extended_tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, t_of msg = 'This function is not yet implemented \n' msg += 'If you implement it yourself, please consider submitting it as an OSIPI code contribution' - raise NotImplementedError(msg) \ No newline at end of file + raise NotImplementedError(msg) + diff --git a/tests/test_tissue.py b/tests/test_tissue.py index f5b1322..72377ab 100644 --- a/tests/test_tissue.py +++ b/tests/test_tissue.py @@ -1,41 +1,50 @@ import numpy as np import osipi import math +import matplotlib.pyplot as plt def test_tissue_tofts(): - Ktrans = 0.6 - ve = 0.2 - t = np.arange(0, 6 * 60, 0.01) - ca = osipi.aif_parker(t) # 1. Basic operation of the function - test that the peak tissue concentration is less than the peak AIF - ct = osipi.tofts(t, ca, Ktrans=Ktrans, ve=ve) + t = np.linspace(0, 6 * 60, 360) + ca = osipi.aif_parker(t) + ct = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0.2) assert np.round(np.max(ct)) < np.round(np.max(ca)) - # 2. The offset option - test that the tissue concentration is shifted from the AIF by the specified offset time - ct = osipi.tofts(t, ca, Ktrans=Ktrans, ve=ve, t_offset=60.0) - assert (np.min(np.where(ct>0.0)) - np.min(np.where(ca>0.0)) - 1)*0.01 == 60.0 + # 2. Basic operation of the function - test with non-uniform spacing of time array + t = np.geomspace(1, 6*60+1, num=360)-1 + ca = osipi.aif_parker(t) + ct = osipi.tofts(t, ca, Ktrans=0.6 / 60, ve=0.2) + assert np.round(np.max(ct)) < np.round(np.max(ca)) - # 3. Test that the discretization options give almost the same result - ct_conv = osipi.tofts(t, ca, Ktrans=0.6, ve=0.2) - ct_exp = osipi.tofts(t, ca, Ktrans=0.6, ve=0.2, discretization_method='exp') + # 3. The offset option - test that the tissue concentration is shifted from the AIF by the specified offset time + t = np.arange(0, 6 * 60, 1) + ca = osipi.aif_parker(t) + ct = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0.2, Ta=60.0) + assert (np.min(np.where(ct>0.0)) - np.min(np.where(ca>0.0)) - 1)*1 == 60.0 + + # 4. Test that the discretization options give almost the same result - time step must be very small + t = np.arange(0, 6 * 60, 0.01) + ca = osipi.aif_parker(t) + ct_conv = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0.2) + ct_exp = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0.2, discretization_method='exp') assert np.allclose(ct_conv, ct_exp, rtol=1e-4, atol=1e-3) - # 4. Test that the ratio of the area under the ct and ca curves is approximately the extracellular volume - ct_conv = osipi.tofts(t, ca, Ktrans=Ktrans, ve=ve) - ct_exp = osipi.tofts(t, ca, Ktrans=Ktrans, ve=ve, discretization_method='exp') - assert math.isclose(np.trapz(ct_conv, t)/np.trapz(ca, t), ve, abs_tol=1e-1) - assert math.isclose(np.trapz(ct_exp, t)/np.trapz(ca, t), ve, abs_tol=1e-1) + # 5. Test that the ratio of the area under the ct and ca curves is approximately the extracellular volume + t = np.arange(0, 6 * 60, 1) + ca = osipi.aif_parker(t) + ct_conv = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0.2) + ct_exp = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0.2, discretization_method='exp') + assert math.isclose(np.trapz(ct_conv, t)/np.trapz(ca, t), 0.2, abs_tol=1e-1) + assert math.isclose(np.trapz(ct_exp, t)/np.trapz(ca, t), 0.2, abs_tol=1e-1) def test_tissue_extended_tofts(): # Not implemented yet so need to raise an error - Ktrans = 0.6 - ve = 0.2 - t = np.arange(0, 6 * 60, 0.01) + t = np.arange(0, 6 * 60, 0.1) ca = osipi.aif_parker(t) try: - ct = osipi.extended_tofts(t, ca, Ktrans=Ktrans, ve=ve) + ct = osipi.extended_tofts(t, ca, Ktrans=0.6/60, ve=0.2) except: assert True else: From c00146e70703d766c188a976cf213d07a3932bc0 Mon Sep 17 00:00:00 2001 From: stadmill Date: Mon, 22 Jan 2024 11:58:43 +1100 Subject: [PATCH 12/20] exception handling Added warning for cases when Kt<=0 or ve<=0. Tofts model accepts nonuniform time spacing but added warning to indicate internal resampling. --- docs/source/generated/.DS_Store | Bin 6148 -> 6148 bytes .../examples/aif/plot_aif_parker.rst | 2 +- .../aif/plot_aif_parker_codeobj.pickle | Bin 993 -> 993 bytes .../generated/examples/aif/plot_dummy.rst | 2 +- .../examples/aif/plot_dummy_codeobj.pickle | Bin 993 -> 993 bytes .../examples/aif/sg_execution_times.rst | 6 +-- .../generated/examples/tissue/plot_tofts.rst | 2 +- .../examples/tissue/plot_tofts_codeobj.pickle | Bin 1342 -> 1342 bytes .../examples/tissue/sg_execution_times.rst | 4 +- src/osipi/_aif.py | 1 - src/osipi/_convolution.py | 2 - src/osipi/_tissue.py | 39 +++++++++--------- tests/test_tissue.py | 15 +++++++ 13 files changed, 43 insertions(+), 30 deletions(-) diff --git a/docs/source/generated/.DS_Store b/docs/source/generated/.DS_Store index 03558c47a9d07d9d2f3a6587a28feab3e515042d..2a512439dd02a20a5577cde6c8bb61801b28a50d 100644 GIT binary patch delta 97 zcmZoMXffDe$Hd%l<-=r0CTTDo&*aU-@nP}=T8;1 delta 97 zcmZoMXffDe$HdIA_Wfi>CTTDo&*aU-&NcY~lhWjKOgu~sxswH$RVFd>L0F;8tmm^Q qPhb|CT*nNS>|s^|$@DNwOg_WR%f$9!^FwAemWc&yo7p-3@&f>1NgN>n diff --git a/docs/source/generated/examples/aif/plot_aif_parker.rst b/docs/source/generated/examples/aif/plot_aif_parker.rst index d7a9918..901cd3c 100644 --- a/docs/source/generated/examples/aif/plot_aif_parker.rst +++ b/docs/source/generated/examples/aif/plot_aif_parker.rst @@ -116,7 +116,7 @@ The bolus arrival time (BAT) defaults to 0s. What happens if we change it? Let's .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 0.107 seconds) + **Total running time of the script:** (0 minutes 0.108 seconds) .. _sphx_glr_download_generated_examples_aif_plot_aif_parker.py: diff --git a/docs/source/generated/examples/aif/plot_aif_parker_codeobj.pickle b/docs/source/generated/examples/aif/plot_aif_parker_codeobj.pickle index 65f32a66a84668b86105358a9f4dc1442f2f67df..0b5d54ae7b8e15e84caef36a8e0a8cec144c6b52 100644 GIT binary patch delta 107 zcmaFJ{*Zk_I~!L)PKjQ{WPT=1Mxn`?%w3GqleaJ{amr=zbY}2&mZnZ@Q|45LauO%& zFzPXCOpa!(oovCxH~AT(B&P{n;U)t{%ZZP@CUY|BGdfMSWGZL$p1hICovBn00MYv( A6951J delta 106 zcmaFJ{*Zk_`{X=EB~hUap3V&3&eFslu7aEry`0qa)V!3*icBhu;**y#c}3JKRpOM(;OWfZ?JP~5*rv>>4CN$FzQ<(9 zs4-c9S&>nDvJta6qrv1XX3xosS(F(qCqH8}W3-zr%j7ZnFryNq`@~iHoIY@kF+j<{ z$&(q?L_=UE_iz>Dl<4K8rl;nmOfFzjVT_zC%;+^al}Vp5Y4TJiugRO4bs4iKKV)`i HD%Ar3(F!u| delta 160 zcmdnTwU28;`{X=EB}SpiCd~Sx;u$=h8N8jPi9K8eIVE~Isp+YCDU+B~7-c3ivv^I; zWj1A0oxGS?jZtGV2eUS#?&L{KW{gIYPcnH-_GQs$w4PiGR5gpyfYD|0X+}jx_sMS= z%^7_rt1@{`KF*@c7&`eYi~Gbj1IDnp.ndarray: >>> plt.plot(t,ca) >>> plt.show() """ - # Convert from OSIPI units (sec) to units used internally (mins) t_min = t/60 bat_min = BAT/60 diff --git a/src/osipi/_convolution.py b/src/osipi/_convolution.py index e4f3a3c..c6d925e 100644 --- a/src/osipi/_convolution.py +++ b/src/osipi/_convolution.py @@ -11,9 +11,7 @@ def exp_conv(T: float, t: np.ndarray, a: np.ndarray) -> np.ndarray: Returns: np.ndarray: convolved array - """ - if T == 0: return a diff --git a/src/osipi/_tissue.py b/src/osipi/_tissue.py index 0a67d59..e3924a8 100644 --- a/src/osipi/_tissue.py +++ b/src/osipi/_tissue.py @@ -1,11 +1,11 @@ import numpy as np from scipy.interpolate import interp1d from ._convolution import exp_conv +import warnings def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, Ta: float = 30.0, discretization_method: str = "conv") -> np.ndarray: - """Tofts model as defined by Tofts and Kermode (1991) Args: @@ -55,31 +55,32 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, Ta: float = 3 >>> ct = osipi.tofts(t, ca, Ktrans, ve) >>> plt.plot(t, ca, 'r', t, ct, 'b') """ + if not np.allclose(np.diff(t), np.diff(t)[0]): + warnings.warn('Non-uniform time spacing detected. Time array may be resampled.', stacklevel=2) + + if Ktrans <= 0 or ve <= 0: + ct = 0 * ca + warnings.warn('Tissue concentration will be set to zero if Ktrans or ve are less than or equal to zero.', stacklevel=2) + else: + if discretization_method == 'exp': # Use exponential convolution + # Shift the AIF by the arterial delay time (if not zero) + if Ta != 0: + f = interp1d(t, ca, kind='linear', bounds_error=False, fill_value=0) + ca = (t > Ta) * f(t - Ta) - # Shift the AIF by the arterial delay time (if not zero) - if Ta != 0: - f = interp1d(t, ca, kind='linear', bounds_error=False, fill_value=0) - ca = (t > Ta) * f(t - Ta) - - if discretization_method == 'exp': # Use exponential convolution - try: Tc = ve / Ktrans - except ZeroDivisionError: - print('Division by zero error: Ktrans assigned 0') - ct = 0 * ca - else: ct = ve * exp_conv(Tc, t, ca) - else: # Use convolution by default - # Calculate the impulse response function - try: + else: # Use convolution by default + # Calculate the impulse response function kep = Ktrans / ve - except ZeroDivisionError: - print('Division by zero: ve assigned 0') - ct = ca - else: imp = Ktrans * np.exp(-1 * kep * t) + # Shift the AIF by the arterial delay time (if not zero) + if Ta != 0: + f = interp1d(t, ca, kind='linear', bounds_error=False, fill_value=0) + ca = (t > Ta) * f(t - Ta) + # Check if time data grid is uniformly spaced if np.allclose(np.diff(t), np.diff(t)[0]): # Convolve impulse response with AIF diff --git a/tests/test_tissue.py b/tests/test_tissue.py index 72377ab..b6109c4 100644 --- a/tests/test_tissue.py +++ b/tests/test_tissue.py @@ -38,6 +38,21 @@ def test_tissue_tofts(): assert math.isclose(np.trapz(ct_conv, t)/np.trapz(ca, t), 0.2, abs_tol=1e-1) assert math.isclose(np.trapz(ct_exp, t)/np.trapz(ca, t), 0.2, abs_tol=1e-1) + # 6. Test specific use cases + t = np.arange(0, 6 * 60, 1) + ca = osipi.aif_parker(t) + ct_conv = osipi.tofts(t, ca, Ktrans=0, ve=0.2) + assert np.count_nonzero(ct_conv) == 0 + + ct_exp = osipi.tofts(t, ca, Ktrans=0, ve=0.2, discretization_method='exp') + assert np.count_nonzero(ct_exp) == 0 + + ct_conv = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0) + assert np.count_nonzero(ct_conv) == 0 + + ct_exp = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0, discretization_method='exp') + assert np.count_nonzero(ct_exp) == 0 + def test_tissue_extended_tofts(): # Not implemented yet so need to raise an error From 768b913b6390072f996cb7362fc10fae8adf8196 Mon Sep 17 00:00:00 2001 From: stadmill Date: Mon, 22 Jan 2024 12:06:28 +1100 Subject: [PATCH 13/20] Correction of units Corrected ktrans units --- docs/examples/tissue/plot_tofts.py | 10 +++++----- docs/source/generated/.DS_Store | Bin 6148 -> 6148 bytes .../examples/aif/plot_aif_parker.rst | 2 +- .../aif/plot_aif_parker_codeobj.pickle | Bin 993 -> 993 bytes .../generated/examples/aif/plot_dummy.rst | 2 +- .../examples/aif/plot_dummy_codeobj.pickle | Bin 993 -> 993 bytes .../examples/aif/sg_execution_times.rst | 6 +++--- .../examples/tissue/plot_tofts.ipynb | 4 ++-- .../generated/examples/tissue/plot_tofts.py | 10 +++++----- .../examples/tissue/plot_tofts.py.md5 | 2 +- .../generated/examples/tissue/plot_tofts.rst | 12 ++++++------ .../examples/tissue/plot_tofts_codeobj.pickle | Bin 1342 -> 1342 bytes .../examples/tissue/sg_execution_times.rst | 4 ++-- src/osipi/_tissue.py | 8 +++++--- tests/test_tissue.py | 18 +++++++++--------- 15 files changed, 40 insertions(+), 38 deletions(-) diff --git a/docs/examples/tissue/plot_tofts.py b/docs/examples/tissue/plot_tofts.py index 1102a44..dc22974 100644 --- a/docs/examples/tissue/plot_tofts.py +++ b/docs/examples/tissue/plot_tofts.py @@ -25,11 +25,11 @@ # Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 different transfer rate constants of 0.05, 0.2 and 0.6 /min Ktrans = [0.05, 0.2, 0.6] # in units of 1/min ve = 0.2 # volume fraction between 0 and 1 -ct = osipi.tofts(t, ca, Ktrans=Ktrans[0]/60, ve=ve) +ct = osipi.tofts(t, ca, Ktrans=Ktrans[0], ve=ve) plt.plot(t, ct, 'b-', label=f'Ktrans = {Ktrans[0]} /min') -ct = osipi.tofts(t, ca, Ktrans[1]/60, ve) +ct = osipi.tofts(t, ca, Ktrans[1], ve) plt.plot(t, ct, 'g-', label=f'Ktrans = {Ktrans[1]} /min') -ct = osipi.tofts(t, ca, Ktrans[2]/60, ve) +ct = osipi.tofts(t, ca, Ktrans[2], ve) plt.plot(t, ct, 'm-', label=f'Ktrans = {Ktrans[2]} /min') plt.xlabel('Time (sec)') plt.ylabel('Tissue concentration (mM)') @@ -38,9 +38,9 @@ # %% # Comparing different discretization methods for an extracellular volume fraction of 0.2 and Ktrans of 0.2 /min -ct = osipi.tofts(t, ca, Ktrans=Ktrans[1]/60, ve=ve) # Defaults to Convolution +ct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve) # Defaults to Convolution plt.plot(t, ct, 'b-', label='Convolution') -ct = osipi.tofts(t, ca, Ktrans=Ktrans[1]/60, ve=ve, discretization_method='exp') +ct = osipi.tofts(t, ca, Ktrans=Ktrans[1], ve=ve, discretization_method='exp') plt.plot(t, ct, 'g-', label='Exponential Convolution') plt.title(f'Ktrans = {Ktrans[1]} /min') plt.xlabel('Time (sec)') diff --git a/docs/source/generated/.DS_Store b/docs/source/generated/.DS_Store index 2a512439dd02a20a5577cde6c8bb61801b28a50d..e717588fea796a15e28caf003cd19e067bc596d3 100644 GIT binary patch delta 71 zcmZoMXffDe$HdH#|7)@%lQfu)XR2g<#3)|yYqB7-@+4*+IH#QTK`l2>xR+TO&Jy2z IhS@>{09_^+<^TWy delta 71 zcmZoMXffDe$Hd%l<-=r0CTTDo&s53Ez|ipc!(>5bQPMkPjz$*GLmqP9@Ai9K8eIVE~Isp+YCDU%hMR3^(a^H1Kw KWHUL7xf}qWG9st| delta 95 zcmaFJ{*Zk_&*VppS`)YNPnKq?nQX?$H+dQPMkPjz$*GLmqP9@Ai9K8eIVE~Isp+YCDU%hMR3^(a^H1Kw KWHUL7xf}qWG9st| delta 95 zcmaFJ{*Zk_&*VppS`)YNPnKq?nQX?$H+duZOE3r$jF&H9a*iWfGGLqx)oL z7O%;+%xb~`a3vfdB?US8B_IW%lfSaKPoBwW$QU>IG@~M8;^b5&9g#G+Vos3alFX8v R)X5iEj3yf~Su>UD0RRewJnjGh delta 194 zcmdnTwU28;&*VppS`)YNPnKq?nQX?$H+dh^h z=dvh@XhX$PdpHYnO7u!HOL9^t7ci>> ca = osipi.aif_parker(t) Calculate tissue concentrations and plot: - >>> Ktrans = 0.6/60 # in units of 1/sec + >>> Ktrans = 0.6 # in units of 1/min >>> ve = 0.2 # takes values from 0 to 1 >>> ct = osipi.tofts(t, ca, Ktrans, ve) >>> plt.plot(t, ca, 'r', t, ct, 'b') @@ -62,6 +62,9 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, Ta: float = 3 ct = 0 * ca warnings.warn('Tissue concentration will be set to zero if Ktrans or ve are less than or equal to zero.', stacklevel=2) else: + # Convert units + Ktrans = Ktrans/60 # from 1/min to 1/sec + if discretization_method == 'exp': # Use exponential convolution # Shift the AIF by the arterial delay time (if not zero) if Ta != 0: @@ -89,7 +92,6 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, Ta: float = 3 # Discard unwanted points and make sure time spacing is correct ct = convolution[0:len(t)] * t[1] else: - # Print WARNING - non-uniform time grid detected - resampling # Resample at the smallest spacing dt = np.min(np.diff(t)) t_resampled = np.linspace(t[0], t[-1], int((t[-1]-t[0])/dt)) diff --git a/tests/test_tissue.py b/tests/test_tissue.py index b6109c4..eb97a0b 100644 --- a/tests/test_tissue.py +++ b/tests/test_tissue.py @@ -8,33 +8,33 @@ def test_tissue_tofts(): # 1. Basic operation of the function - test that the peak tissue concentration is less than the peak AIF t = np.linspace(0, 6 * 60, 360) ca = osipi.aif_parker(t) - ct = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0.2) + ct = osipi.tofts(t, ca, Ktrans=0.6, ve=0.2) assert np.round(np.max(ct)) < np.round(np.max(ca)) # 2. Basic operation of the function - test with non-uniform spacing of time array t = np.geomspace(1, 6*60+1, num=360)-1 ca = osipi.aif_parker(t) - ct = osipi.tofts(t, ca, Ktrans=0.6 / 60, ve=0.2) + ct = osipi.tofts(t, ca, Ktrans=0.6, ve=0.2) assert np.round(np.max(ct)) < np.round(np.max(ca)) # 3. The offset option - test that the tissue concentration is shifted from the AIF by the specified offset time t = np.arange(0, 6 * 60, 1) ca = osipi.aif_parker(t) - ct = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0.2, Ta=60.0) + ct = osipi.tofts(t, ca, Ktrans=0.6, ve=0.2, Ta=60.0) assert (np.min(np.where(ct>0.0)) - np.min(np.where(ca>0.0)) - 1)*1 == 60.0 # 4. Test that the discretization options give almost the same result - time step must be very small t = np.arange(0, 6 * 60, 0.01) ca = osipi.aif_parker(t) - ct_conv = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0.2) - ct_exp = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0.2, discretization_method='exp') + ct_conv = osipi.tofts(t, ca, Ktrans=0.6, ve=0.2) + ct_exp = osipi.tofts(t, ca, Ktrans=0.6, ve=0.2, discretization_method='exp') assert np.allclose(ct_conv, ct_exp, rtol=1e-4, atol=1e-3) # 5. Test that the ratio of the area under the ct and ca curves is approximately the extracellular volume t = np.arange(0, 6 * 60, 1) ca = osipi.aif_parker(t) - ct_conv = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0.2) - ct_exp = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0.2, discretization_method='exp') + ct_conv = osipi.tofts(t, ca, Ktrans=0.6, ve=0.2) + ct_exp = osipi.tofts(t, ca, Ktrans=0.6, ve=0.2, discretization_method='exp') assert math.isclose(np.trapz(ct_conv, t)/np.trapz(ca, t), 0.2, abs_tol=1e-1) assert math.isclose(np.trapz(ct_exp, t)/np.trapz(ca, t), 0.2, abs_tol=1e-1) @@ -47,10 +47,10 @@ def test_tissue_tofts(): ct_exp = osipi.tofts(t, ca, Ktrans=0, ve=0.2, discretization_method='exp') assert np.count_nonzero(ct_exp) == 0 - ct_conv = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0) + ct_conv = osipi.tofts(t, ca, Ktrans=0.6, ve=0) assert np.count_nonzero(ct_conv) == 0 - ct_exp = osipi.tofts(t, ca, Ktrans=0.6/60, ve=0, discretization_method='exp') + ct_exp = osipi.tofts(t, ca, Ktrans=0.6, ve=0, discretization_method='exp') assert np.count_nonzero(ct_exp) == 0 def test_tissue_extended_tofts(): From e9d27b3cfd1d5b4fd8f585d3e3868eb920275c68 Mon Sep 17 00:00:00 2001 From: LucyKershaw Date: Fri, 16 Feb 2024 09:05:24 +0000 Subject: [PATCH 14/20] Added extended Tofts First try adding code, extended Tofts with examples --- .DS_Store | Bin 0 -> 12292 bytes .github/workflows/documentation.yaml | 0 .github/workflows/pytest-actions.yaml | 0 .gitignore | 0 .idea/.gitignore | 0 .idea/inspectionProfiles/Project_Default.xml | 0 .../inspectionProfiles/profiles_settings.xml | 0 .idea/misc.xml | 0 .idea/modules.xml | 0 .idea/other.xml | 0 .idea/pypi.iml | 0 .idea/vcs.xml | 0 LICENSE | 0 README.md | 0 docs/.DS_Store | Bin 6148 -> 6148 bytes docs/Makefile | 0 docs/examples/.DS_Store | Bin 0 -> 6148 bytes docs/examples/README.rst | 0 docs/examples/aif/README.rst | 0 docs/examples/aif/plot_aif_parker.py | 0 docs/examples/aif/plot_dummy.py | 0 docs/examples/tissue/README.rst | 0 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numpy as np +import matplotlib.pyplot as plt +import osipi + +# %% +# Generate Parker AIF with default settings. + +# Define time points in units of seconds - in this case we use a time resolution of 1 sec and a total duration of 6 minutes. +t = np.arange(0, 6*60, 1) + +# Create an AIF with default settings +ca = osipi.aif_parker(t) + +# %% +# Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 different plasma volumes of 0.05, 0.2 and 0.6 +Ktrans = 0.2 # in units of 1/min +ve = 0.2 # volume fraction between 0 and 1 +vp = [0.05, 0.2, 0.6] # volume fraction between 0 and 1 +ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[0]) +plt.plot(t, ct, 'b-', label=f'vp = {vp[0]}') +ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[1]) +plt.plot(t, ct, 'g-', label=f'vp = {vp[1]}') +ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[2]) +plt.plot(t, ct, 'm-', label=f'vp = {vp[2]}') +plt.xlabel('Time (sec)') +plt.ylabel('Tissue concentration (mM)') +plt.legend() +plt.show() + +# %% +# Comparing different discretization methods for an extracellular volume fraction of 0.2, Ktrans of 0.2 /min and vp of 0.05 +ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[0]) # Defaults to Convolution +plt.plot(t, ct, 'b-', label='Convolution') +ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[0], discretization_method='exp') +plt.plot(t, ct, 'g-', label='Exponential Convolution') +plt.title(f'Ktrans = {Ktrans} /min') +plt.xlabel('Time (sec)') +plt.ylabel('Tissue concentration (mM)') +plt.legend() +plt.show() + +# Choose the last image as a thumbnail for the gallery +# sphinx_gallery_thumbnail_number = -1 diff --git a/docs/examples/tissue/plot_tofts.py b/docs/examples/tissue/plot_tofts.py old mode 100644 new mode 100755 diff --git a/docs/make.bat b/docs/make.bat old mode 100644 new mode 100755 diff --git a/docs/requirements.txt b/docs/requirements.txt old mode 100644 new mode 100755 diff --git a/docs/source/.DS_Store b/docs/source/.DS_Store index 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.. only:: not html - * :ref:`sphx_glr_generated_examples_aif_plot_aif_parker.py` - -.. raw:: html - -
- -.. only:: html - - .. image:: /generated/examples/aif/images/thumb/sphx_glr_plot_dummy_thumb.png - :alt: - - :ref:`sphx_glr_generated_examples_aif_plot_dummy.py` - -.. raw:: html - -
A dummy script
-
- - -.. only:: not html - - * :ref:`sphx_glr_generated_examples_aif_plot_dummy.py` - -.. raw:: html - -
- -.. only:: html - - .. image:: /generated/examples/tissue/images/thumb/sphx_glr_plot_tofts_thumb.png - :alt: - - :ref:`sphx_glr_generated_examples_tissue_plot_tofts.py` - -.. raw:: html - -
The Tofts model
-
- - -.. only:: not html - - * :ref:`sphx_glr_generated_examples_tissue_plot_tofts.py` + * :ref:`sphx_glr_generated_examples_tissue_plot_extended_tofts.py` .. raw:: html diff --git a/docs/source/generated/backreferences/osipi.aif_weinmann.examples b/docs/source/generated/backreferences/osipi.aif_weinmann.examples old mode 100644 new mode 100755 diff --git a/docs/source/generated/backreferences/osipi.extended_tofts.examples b/docs/source/generated/backreferences/osipi.extended_tofts.examples old mode 100644 new mode 100755 index e69de29..9fb76fd --- a/docs/source/generated/backreferences/osipi.extended_tofts.examples +++ b/docs/source/generated/backreferences/osipi.extended_tofts.examples @@ -0,0 +1,39 @@ + + +Examples using ``osipi.extended_tofts`` +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + +.. start-sphx-glr-thumbnails + + +.. raw:: html + +
+ + +.. raw:: html + +
+ +.. only:: html + + .. image:: /generated/examples/tissue/images/thumb/sphx_glr_plot_extended_tofts_thumb.png + :alt: + + :ref:`sphx_glr_generated_examples_tissue_plot_extended_tofts.py` + +.. raw:: html + +
The Extended Tofts model
+
+ + +.. only:: not html + + * :ref:`sphx_glr_generated_examples_tissue_plot_extended_tofts.py` + +.. raw:: html + +
+ diff --git a/docs/source/generated/backreferences/osipi.tofts.examples b/docs/source/generated/backreferences/osipi.tofts.examples old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/images/sphx_glr_plot_aif_parker_001.png b/docs/source/generated/examples/aif/images/sphx_glr_plot_aif_parker_001.png old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/images/sphx_glr_plot_aif_parker_002.png b/docs/source/generated/examples/aif/images/sphx_glr_plot_aif_parker_002.png old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/images/sphx_glr_plot_dummy_001.png b/docs/source/generated/examples/aif/images/sphx_glr_plot_dummy_001.png old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/images/sphx_glr_plot_dummy_002.png b/docs/source/generated/examples/aif/images/sphx_glr_plot_dummy_002.png old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/images/thumb/sphx_glr_plot_aif_parker_thumb.png b/docs/source/generated/examples/aif/images/thumb/sphx_glr_plot_aif_parker_thumb.png old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/images/thumb/sphx_glr_plot_dummy_thumb.png b/docs/source/generated/examples/aif/images/thumb/sphx_glr_plot_dummy_thumb.png old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/index.rst b/docs/source/generated/examples/aif/index.rst old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/plot_aif_parker.ipynb b/docs/source/generated/examples/aif/plot_aif_parker.ipynb old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/plot_aif_parker.py b/docs/source/generated/examples/aif/plot_aif_parker.py old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/plot_aif_parker.py.md5 b/docs/source/generated/examples/aif/plot_aif_parker.py.md5 old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/plot_aif_parker.rst b/docs/source/generated/examples/aif/plot_aif_parker.rst old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/plot_aif_parker_codeobj.pickle b/docs/source/generated/examples/aif/plot_aif_parker_codeobj.pickle old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/plot_dummy.ipynb b/docs/source/generated/examples/aif/plot_dummy.ipynb old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/plot_dummy.py b/docs/source/generated/examples/aif/plot_dummy.py old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/plot_dummy.py.md5 b/docs/source/generated/examples/aif/plot_dummy.py.md5 old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/plot_dummy.rst b/docs/source/generated/examples/aif/plot_dummy.rst old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/plot_dummy_codeobj.pickle b/docs/source/generated/examples/aif/plot_dummy_codeobj.pickle old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/aif/sg_execution_times.rst b/docs/source/generated/examples/aif/sg_execution_times.rst old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/index.rst b/docs/source/generated/examples/index.rst old mode 100644 new mode 100755 index e805eb2..8172642 --- a/docs/source/generated/examples/index.rst +++ b/docs/source/generated/examples/index.rst @@ -100,6 +100,23 @@ Tissue concentrations

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--git a/docs/source/generated/examples/aif/plot_aif_parker.ipynb b/docs/source/generated/examples/aif/plot_aif_parker.ipynb index 5cc57b5..121a62b 100644 --- a/docs/source/generated/examples/aif/plot_aif_parker.ipynb +++ b/docs/source/generated/examples/aif/plot_aif_parker.ipynb @@ -58,25 +58,7 @@ }, "outputs": [], "source": [ - "ca = osipi.aif_parker(t, BAT=0)\nplt.plot(t, ca, 'b-', label='BAT = 0s')\nca = osipi.aif_parker(t, BAT=30)\nplt.plot(t, ca, 'r-', label='BAT = 30s')\nca = osipi.aif_parker(t, BAT=60)\nplt.plot(t, ca, 'g-', label='BAT = 60s')\nca = osipi.aif_parker(t, BAT=90)\nplt.plot(t, ca, 'm-', label='BAT = 90s')\nplt.xlabel('Time (sec)')\nplt.ylabel('Plasma concentration (mM)')\nplt.legend()\nplt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "the dose defaults to 0.1- what happens if we change it too?\n\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "ca = osipi.aif_parker(t, BAT=0, dose=0.05)\nplt.plot(t, ca, 'b-', label='BAT = 0s, dose = 0.05')\nca = osipi.aif_parker(t, BAT=30, dose=0.1)\nplt.plot(t, ca, 'r-', label='BAT = 30s, dose = 0.1')\nca = osipi.aif_parker(t, BAT=60, dose=0.2)\nplt.plot(t, ca, 'g-', label='BAT = 60s, dose = 0.2')\nca = osipi.aif_parker(t, BAT=90, dose=0.3)\nplt.plot(t, ca, 'm-', label='BAT = 90s, dose = 0.3')\nplt.xlabel('Time (sec)')\nplt.ylabel('Plasma concentration (mM)')\nplt.legend()\nplt.show()\n\n# Choose the last image as a thumbnail for the gallery\n# sphinx_gallery_thumbnail_number = -1" + "ca = osipi.aif_parker(t, BAT=0)\nplt.plot(t, ca, 'b-', label='BAT = 0s')\nca = osipi.aif_parker(t, BAT=30)\nplt.plot(t, ca, 'r-', label='BAT = 30s')\nca = osipi.aif_parker(t, BAT=60)\nplt.plot(t, ca, 'g-', label='BAT = 60s')\nca = osipi.aif_parker(t, BAT=90)\nplt.plot(t, ca, 'm-', label='BAT = 90s')\nplt.xlabel('Time (sec)')\nplt.ylabel('Plasma concentration (mM)')\nplt.legend()\nplt.show()\n\n# Choose the last image as a thumbnail for the gallery\n# sphinx_gallery_thumbnail_number = -1" ] } ], diff --git a/docs/source/generated/examples/aif/plot_aif_parker.py b/docs/source/generated/examples/aif/plot_aif_parker.py index 6e9765d..4f3a82d 100644 --- a/docs/source/generated/examples/aif/plot_aif_parker.py +++ b/docs/source/generated/examples/aif/plot_aif_parker.py @@ -44,21 +44,5 @@ plt.legend() plt.show() -# %% -# the dose defaults to 0.1- what happens if we change it too? - -ca = osipi.aif_parker(t, BAT=0, dose=0.05) -plt.plot(t, ca, 'b-', label='BAT = 0s, dose = 0.05') -ca = osipi.aif_parker(t, BAT=30, dose=0.1) -plt.plot(t, ca, 'r-', label='BAT = 30s, dose = 0.1') -ca = osipi.aif_parker(t, BAT=60, dose=0.2) -plt.plot(t, ca, 'g-', label='BAT = 60s, dose = 0.2') -ca = osipi.aif_parker(t, BAT=90, dose=0.3) -plt.plot(t, ca, 'm-', label='BAT = 90s, dose = 0.3') -plt.xlabel('Time (sec)') -plt.ylabel('Plasma concentration (mM)') -plt.legend() -plt.show() - # Choose the last image as a thumbnail for the gallery # sphinx_gallery_thumbnail_number = -1 diff --git a/docs/source/generated/examples/aif/plot_aif_parker.py.md5 b/docs/source/generated/examples/aif/plot_aif_parker.py.md5 index a5f80d8..756e853 100644 --- a/docs/source/generated/examples/aif/plot_aif_parker.py.md5 +++ b/docs/source/generated/examples/aif/plot_aif_parker.py.md5 @@ -1 +1 @@ -189f17d69c202b69aa808b545487130d \ No newline at end of file +2ad42a0f8a1b8aa8ec46f9a5f66e86e4 \ No newline at end of file diff --git a/docs/source/generated/examples/aif/plot_aif_parker.rst b/docs/source/generated/examples/aif/plot_aif_parker.rst index 64644db..d7a9918 100644 --- a/docs/source/generated/examples/aif/plot_aif_parker.rst +++ b/docs/source/generated/examples/aif/plot_aif_parker.rst @@ -81,7 +81,7 @@ Generate synthetic AIF with default settings and plot the result. The bolus arrival time (BAT) defaults to 0s. What happens if we change it? Let's try, by changing it in steps of 30s: -.. GENERATED FROM PYTHON SOURCE LINES 33-47 +.. GENERATED FROM PYTHON SOURCE LINES 33-49 .. code-block:: default @@ -99,48 +99,14 @@ The bolus arrival time (BAT) defaults to 0s. What happens if we change it? Let's plt.legend() plt.show() - - - -.. image-sg:: /generated/examples/aif/images/sphx_glr_plot_aif_parker_002.png - :alt: plot aif parker - :srcset: /generated/examples/aif/images/sphx_glr_plot_aif_parker_002.png - :class: sphx-glr-single-img - - - - - -.. GENERATED FROM PYTHON SOURCE LINES 48-49 - -the dose defaults to 0.1- what happens if we change it too? - -.. GENERATED FROM PYTHON SOURCE LINES 49-65 - -.. code-block:: default - - - ca = osipi.aif_parker(t, BAT=0, dose=0.05) - plt.plot(t, ca, 'b-', label='BAT = 0s, dose = 0.05') - ca = osipi.aif_parker(t, BAT=30, dose=0.1) - plt.plot(t, ca, 'r-', label='BAT = 30s, dose = 0.1') - ca = osipi.aif_parker(t, BAT=60, dose=0.2) - plt.plot(t, ca, 'g-', label='BAT = 60s, dose = 0.2') - ca = osipi.aif_parker(t, BAT=90, dose=0.3) - plt.plot(t, ca, 'm-', label='BAT = 90s, dose = 0.3') - plt.xlabel('Time (sec)') - plt.ylabel('Plasma concentration (mM)') - plt.legend() - plt.show() - # Choose the last image as a thumbnail for the gallery # sphinx_gallery_thumbnail_number = -1 -.. image-sg:: /generated/examples/aif/images/sphx_glr_plot_aif_parker_003.png +.. image-sg:: /generated/examples/aif/images/sphx_glr_plot_aif_parker_002.png :alt: plot aif parker - :srcset: /generated/examples/aif/images/sphx_glr_plot_aif_parker_003.png + :srcset: /generated/examples/aif/images/sphx_glr_plot_aif_parker_002.png :class: sphx-glr-single-img @@ -150,7 +116,7 @@ the dose defaults to 0.1- what happens if we change it too? .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 0.179 seconds) + **Total running time of the script:** (0 minutes 0.107 seconds) .. _sphx_glr_download_generated_examples_aif_plot_aif_parker.py: diff --git a/docs/source/generated/examples/aif/plot_aif_parker_codeobj.pickle b/docs/source/generated/examples/aif/plot_aif_parker_codeobj.pickle index 5b2b985c79a0b2addd9d03b393bcbdeff8da34d8..65f32a66a84668b86105358a9f4dc1442f2f67df 100644 GIT binary patch delta 76 zcmaFJ{*Zk_`{Z&)B~GCXp3V&3&eFt*e+(GKC+jkLO>Ea?RG7HcV{#RzuGCUJ0N~9T761SM delta 76 zcmaFJ{*Zk_`(#~4T}GkF(TpAwH|sM>Pkih(v0aH%C4;9kgSWFZadHu}}0N7F; Ap8x;= delta 102 zcmaFJ{*Zk_`^3%qj6xG1drjtK(r1*OY{}#``6rO2GFg+^YjQJ_E~D<`jZ7YsirBUhbl9nz-qy!X@29XeulI~IgX=!Ps8>O2& zm;TPV|8dSe=Zya)HCR8c5&KNJdW z`XUzm4^Qv-9Q+~REUn@E$j;2!)zHxtrC{i6Z)4|dV`)U=V(RE*X=lsD#>aM-g~r0! 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+.. raw:: html + +
+ +.. only:: html + + .. image:: /generated/examples/tissue/images/thumb/sphx_glr_plot_extended_tofts_thumb.png + :alt: + + :ref:`sphx_glr_generated_examples_tissue_plot_extended_tofts.py` + +.. raw:: html + +
The Extended Tofts model
+
+ + .. raw:: html
diff --git a/docs/source/generated/examples/sg_execution_times.rst b/docs/source/generated/examples/sg_execution_times.rst new file mode 100755 index 0000000..e8da946 --- /dev/null +++ b/docs/source/generated/examples/sg_execution_times.rst @@ -0,0 +1,37 @@ + +:orphan: + +.. _sphx_glr_generated_examples_sg_execution_times: + + +Computation times +================= +**00:00.000** total execution time for 0 files **from generated/examples**: + +.. container:: + + .. raw:: html + + + + + + + + .. list-table:: + :header-rows: 1 + :class: table table-striped sg-datatable + + * - Example + - Time + - Mem (MB) + * - N/A + - N/A + - N/A diff --git a/docs/source/generated/examples/tissue/images/sphx_glr_plot_extended_tofts_001.png b/docs/source/generated/examples/tissue/images/sphx_glr_plot_extended_tofts_001.png new file mode 100755 index 0000000000000000000000000000000000000000..7946b14585bfc52b428340a59f918879dbe7878c GIT binary patch literal 28900 zcmeFZbyQXB*FU=UCZ)TIq=O(> zJc3{*Nr~Za#6FMC!hfVZlnp&}oozh4E!?b;s}>$E4$dA9w{POStliviJ3EOAN(c&{ z!P$CvxVWDe5_0?>FA#KgyCo#UTtEYFa>V7*b$0}zwm|>IWXrw2jUX=Cmz5OseA1T3 zynXca_vKc%e)nEJmPMzC^Z3C>tVa{aXYHy@%Ok!U5<#?4Uc|)ETM<=_|E@MfRNqm6 zC&enn;l3!zzanj+<0l{^h2-Ienk$v9GM z1pI1qZhPs3(84cYW&#}iCqCT*;o;`yUKgdnE5WZj;g~q|b=|@U9enu@E3rI$m0PY6 zxddOGy~Tn=!k2d`{{L_O|Kfo?(vipz6HV=E>*`XrwLN7elHA*M43^_0X$b!9Tal*L z){BB$-9{_~=AyITzHy&DtG!@DLrbeopC%W?wLDz<@I7mSIpPrB)1!qvHpAs#<9D@3 zSC{qW%a@nb)fo;rw^S+cUFOT1eRidX8zBF_oLtRZI_JdUX1M>q*$lD-unPz~dvPk6 zw7d^5FTBzcJ=v&Q`?O)B)$Q|X;$t8U7}ty%kO zV9`Q6H9jdRA|nHrlX}sKhJ}SRQSGk#{3nINf#W!w`~q*O( zFOP9>bH66VYH1(qx!s03-O+1$dSUSP=ELu9PnRt%IRxzgncv zTqSv5xFl!+dpb?``jN1(OTUKZ=Hy*mW?Ge%l*~USoi(iT5(uY0N`-8%cM8!mGTy!6 zRH-ae@cunpu0f%Sq9PWVM4v{5>&$8kyE9H)ynm%MmP6{xzN(IbY~@-cmFZS5op=V#md?-vU$IyniN2JLwg*YQr* zw#=Swd25teLs;k1Tn9Z`z*H;lCEdxsThjKs+iNt07+Bv1&jFKrV^!WW`Q_twUhIl& zr-L-oWjQ+^3zSp|iHkGsZ2c@Bx~8RtTXFZ$u&{XEC7$^?;>8Q@d-F&g?3rT6kuu^D zwFhfvmT*JK?VEv>?e+0WN&@%PzZpy9^zLqkK~hfDeYZvAw2SJ%*> za&vb__cAhA?tFCCP3pbZ^1|x-t{+&9t5=&lg=+6NG$#M7cj^$(FGp(_f ze}Dhj*d!q�dycUU_^*;r8v*T!Fu}M_pSvDX;aXd?k``o4xe=`)7i!QFm%n|7Ee+ z`T3clTj|YdQtla_Z4m?>LhF52(W1Z|FCHGA4F9bamJ5F8Y(Aw$T6aFKHy56aSLLcV z@g6%tJfNR@O(FkUrdjPB1YcOY&z64Y?`hdTvk!U8`zFx(8T7zp-cg1znsN*FL&W|2 zO4qJ2t<>zS`0eQG=%CN)KBqJjbe)RjvXRxPdq@59E|A^DvP(EMEe(~#r=&zpPMT-E zd};Cdh4S>-#Kgq5j*gIeEm19(t`sq!*?3jqfNhtyIk(X}JIg*>W8RJh)jn%C)1LC^Dx$9j{0@`{MO9nb16g`zwrAkgLL$n%Nd5?9kLbmklJ!hTNjGpRcq69QNQ zobUZoazj=p-!FKW5^esbK2vv9RDUNN+(dX{i@h+pGkuS@{?{+2cV_+DjRJ{Y5n*^v zhE@1J*E|$wl=4vEXK6#O(-0g*frWPGG(E=U$CsDi$EqZtEyF)Ly1Hv)-V;(Xcjh`0 z&tV2WI%AC8Iy7(KOX~ z?{mp5&8m6ZQX?yC>&TzhBFW_`i_A?@$Q=Gne#hGwbk=1nuSO!!kbF|Nglcz19t)a8 zLHn1Yz>6g3)tA!b_~v1>a`Y8x-xN7mqPWS9HsA$$h4{nvFwe#Q=PzDhb8>R1V)=!H zRN>ju(bJ!GomS$IyE7V{|2wcnr<2rNIU5^AgO0(V_=gWeU1wU3ojOJO`SWL=zdv4E zoMYqULdTBGY8}BP4Gk4@bKH5)g|NHi%!-8r{>6R!tta{L$m)o5?J+Si#=gEj(j!Oe zB_;wwxi0t(UMRC4DA@k}Rr7O|xAUV%kIdT>POzM_rFn2v?t$0xu+%QaQw@@*8YgRn z1Oz;H0=LQRiQ>?O3;MqrXkOh?zUw^Djb#6RKc1D9H91&pnIz@T%g4u8WYtb5G!cB1 zHXuynHND2u^CvhYUF4JGf@)|O8Bd@$o#VdYSKX7NdvXd2&2hB??t`p|!m-FV@zJA- z8KwZWDT%uc8cPgR<1SjK^&5wQdNN*y;(Ux8d!DT3# z9c#ZrL-=}F(z=7exF&#A+IxkeoRN{y0xk~VMM{N$v@|3LGQats0zb_ri-UTg83SR5F8AGF?@F1w3OxO2sf*J>biU&A48TZXn~yAcCRI$0_ozvbfIo9jBBG)i1j5!p&UjQlrJENj|LD2esSw6#FWtM5=w_w-KOUY6f`xyi%izOqZWG{pd-Y&y zK#fD$o<4n=%em?}v!HPu%$KvUG#}HXbl-Yy6Qq;k@7}$ebk>p>;2I4RQ}}qb|IE(M z+Ey5nWOX9kIh#Q=1_j3TACpDn)6-)kB1qAh1Y^Nd(l*Ta*7Aye*eRSr=P}(*+;@T8 z&}?o!x^kHA#W;PM4(3N!Hitg3$=#75RH%b1b{X>=u-IA|^I6O27N) z@;&Ik;aoW0@3hnR1?7AkcTHVTL4|eJ$)Ke zU{duW=wM&Gb#`_ZCn3SSwzh`g;dvLE{QMdQDInby1A`4pHK>tgy&AbF?0hNs_JEI?4FaM!zEAIDBr@Ys3*6sN^fn zbW`Ubd3of^moI3mc=Y)3^k>zh&79t&pUuSzq)h6Lt3FVQ<+|X~ePL^|binlDojbD6 z0ynS216K_QzjLs^hb~T;^TdO&Fhb)B7tFr7Nsl*@=?`4p7hZ$p0u zG9q!O(FhoZ$Dy6p*VkXVa;5Qwa&(g=A3uM5Vj@v!JyNH0?Bl0TDqdb*)s;R^IT^1O zK;Mrwhu*&~11NQLbd)$Y`GUVVOx5L=Oqk1;FAsk3Eot0?i!D9kwKeW9v{JogD)jEY zo#jbs-!K*=zZ)SIJ)C(A=*;WCh2%5J+ta)wz6b@GKm}tpOziu0l3>Ho3^5iu+W1@5 zs}1Ba55Au`Xoh>$-eN^xtU-Md*v=Q=N3q%L$k5^JbAyqp+UrlObx75Fbj zpj{&Zwl|bk{F5j5SVe8*U+PRH8koBJj2oB*-bGO`{HY#R%={di>(by^p|a6~A}m~- zw}3f%ac=2zollO-%5vG1EKlU1b9`@Wg1YW4-KB||z%|%U$IhOm1wL0X^FUflM`ya& z%W>>I<4KLQy4r(1=ikdC%$6

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a/docs/source/generated/examples/tissue/images/thumb/sphx_glr_plot_tofts_thumb.png b/docs/source/generated/examples/tissue/images/thumb/sphx_glr_plot_tofts_thumb.png old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/tissue/index.rst b/docs/source/generated/examples/tissue/index.rst old mode 100644 new mode 100755 index 12f0321..b028c57 --- a/docs/source/generated/examples/tissue/index.rst +++ b/docs/source/generated/examples/tissue/index.rst @@ -32,6 +32,23 @@ Tissue concentrations +.. raw:: html + +

+ +.. only:: html + + .. image:: /generated/examples/tissue/images/thumb/sphx_glr_plot_extended_tofts_thumb.png + :alt: + + :ref:`sphx_glr_generated_examples_tissue_plot_extended_tofts.py` + +.. raw:: html + +
The Extended Tofts model
+
+ + .. raw:: html @@ -41,4 +58,5 @@ Tissue concentrations :hidden: /generated/examples/tissue/plot_tofts + /generated/examples/tissue/plot_extended_tofts diff --git a/docs/source/generated/examples/tissue/plot_extended_tofts.ipynb b/docs/source/generated/examples/tissue/plot_extended_tofts.ipynb new file mode 100755 index 0000000..d42ad9c --- /dev/null +++ b/docs/source/generated/examples/tissue/plot_extended_tofts.ipynb @@ -0,0 +1,104 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n# The Extended Tofts model\n\nSimulating tissue concentrations from extended Tofts model with different settings.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Import necessary packages\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import numpy as np\nimport matplotlib.pyplot as plt\nimport osipi" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Generate Parker AIF with default settings.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Define time points in units of seconds - in this case we use a time resolution of 1 sec and a total duration of 6 minutes.\nt = np.arange(0, 6*60, 1)\n\n# Create an AIF with default settings\nca = osipi.aif_parker(t)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 different plasma volumes of 0.05, 0.2 and 0.6\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "Ktrans = 0.2 # in units of 1/min\nve = 0.2 # volume fraction between 0 and 1\nvp = [0.05, 0.2, 0.6] # volume fraction between 0 and 1\nct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[0])\nplt.plot(t, ct, 'b-', label=f'vp = {vp[0]}')\nct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[1])\nplt.plot(t, ct, 'g-', label=f'vp = {vp[1]}')\nct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[2])\nplt.plot(t, ct, 'm-', label=f'vp = {vp[2]}')\nplt.xlabel('Time (sec)')\nplt.ylabel('Tissue concentration (mM)')\nplt.legend()\nplt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Comparing different discretization methods for an extracellular volume fraction of 0.2, Ktrans of 0.2 /min and vp of 0.05\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[0]) # Defaults to Convolution\nplt.plot(t, ct, 'b-', label='Convolution')\nct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[0], discretization_method='exp')\nplt.plot(t, ct, 'g-', label='Exponential Convolution')\nplt.title(f'Ktrans = {Ktrans} /min')\nplt.xlabel('Time (sec)')\nplt.ylabel('Tissue concentration (mM)')\nplt.legend()\nplt.show()\n\n# Choose the last image as a thumbnail for the gallery\n# sphinx_gallery_thumbnail_number = -1" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.2" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/source/generated/examples/tissue/plot_extended_tofts.py b/docs/source/generated/examples/tissue/plot_extended_tofts.py new file mode 100755 index 0000000..a4c60d3 --- /dev/null +++ b/docs/source/generated/examples/tissue/plot_extended_tofts.py @@ -0,0 +1,53 @@ +""" +==================== +The Extended Tofts model +==================== + +Simulating tissue concentrations from extended Tofts model with different settings. +""" + +# %% +# Import necessary packages +import numpy as np +import matplotlib.pyplot as plt +import osipi + +# %% +# Generate Parker AIF with default settings. + +# Define time points in units of seconds - in this case we use a time resolution of 1 sec and a total duration of 6 minutes. +t = np.arange(0, 6*60, 1) + +# Create an AIF with default settings +ca = osipi.aif_parker(t) + +# %% +# Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 different plasma volumes of 0.05, 0.2 and 0.6 +Ktrans = 0.2 # in units of 1/min +ve = 0.2 # volume fraction between 0 and 1 +vp = [0.05, 0.2, 0.6] # volume fraction between 0 and 1 +ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[0]) +plt.plot(t, ct, 'b-', label=f'vp = {vp[0]}') +ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[1]) +plt.plot(t, ct, 'g-', label=f'vp = {vp[1]}') +ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[2]) +plt.plot(t, ct, 'm-', label=f'vp = {vp[2]}') +plt.xlabel('Time (sec)') +plt.ylabel('Tissue concentration (mM)') +plt.legend() +plt.show() + +# %% +# Comparing different discretization methods for an extracellular volume fraction of 0.2, Ktrans of 0.2 /min and vp of 0.05 +ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[0]) # Defaults to Convolution +plt.plot(t, ct, 'b-', label='Convolution') +ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[0], discretization_method='exp') +plt.plot(t, ct, 'g-', label='Exponential Convolution') +plt.title(f'Ktrans = {Ktrans} /min') +plt.xlabel('Time (sec)') +plt.ylabel('Tissue concentration (mM)') +plt.legend() +plt.show() + +# Choose the last image as a thumbnail for the gallery +# sphinx_gallery_thumbnail_number = -1 diff --git a/docs/source/generated/examples/tissue/plot_extended_tofts.py.md5 b/docs/source/generated/examples/tissue/plot_extended_tofts.py.md5 new file mode 100755 index 0000000..0a6c85b --- /dev/null +++ b/docs/source/generated/examples/tissue/plot_extended_tofts.py.md5 @@ -0,0 +1 @@ +fe125cfe0a7b9603e82149422673111f \ No newline at end of file diff --git a/docs/source/generated/examples/tissue/plot_extended_tofts.rst b/docs/source/generated/examples/tissue/plot_extended_tofts.rst new file mode 100755 index 0000000..1223560 --- /dev/null +++ b/docs/source/generated/examples/tissue/plot_extended_tofts.rst @@ -0,0 +1,159 @@ + +.. DO NOT EDIT. +.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. +.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: +.. "generated/examples/tissue/plot_extended_tofts.py" +.. LINE NUMBERS ARE GIVEN BELOW. + +.. only:: html + + .. note:: + :class: sphx-glr-download-link-note + + :ref:`Go to the end ` + to download the full example code + +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_generated_examples_tissue_plot_extended_tofts.py: + + +==================== +The Extended Tofts model +==================== + +Simulating tissue concentrations from extended Tofts model with different settings. + +.. GENERATED FROM PYTHON SOURCE LINES 10-11 + +Import necessary packages + +.. GENERATED FROM PYTHON SOURCE LINES 11-15 + +.. code-block:: Python + + import numpy as np + import matplotlib.pyplot as plt + import osipi + + + + + + + + +.. GENERATED FROM PYTHON SOURCE LINES 16-17 + +Generate Parker AIF with default settings. + +.. GENERATED FROM PYTHON SOURCE LINES 17-24 + +.. code-block:: Python + + + # Define time points in units of seconds - in this case we use a time resolution of 1 sec and a total duration of 6 minutes. + t = np.arange(0, 6*60, 1) + + # Create an AIF with default settings + ca = osipi.aif_parker(t) + + + + + + + + +.. GENERATED FROM PYTHON SOURCE LINES 25-26 + +Plot the tissue concentrations for an extracellular volume fraction of 0.2 and 3 different plasma volumes of 0.05, 0.2 and 0.6 + +.. GENERATED FROM PYTHON SOURCE LINES 26-40 + +.. code-block:: Python + + Ktrans = 0.2 # in units of 1/min + ve = 0.2 # volume fraction between 0 and 1 + vp = [0.05, 0.2, 0.6] # volume fraction between 0 and 1 + ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[0]) + plt.plot(t, ct, 'b-', label=f'vp = {vp[0]}') + ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[1]) + plt.plot(t, ct, 'g-', label=f'vp = {vp[1]}') + ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[2]) + plt.plot(t, ct, 'm-', label=f'vp = {vp[2]}') + plt.xlabel('Time (sec)') + plt.ylabel('Tissue concentration (mM)') + plt.legend() + plt.show() + + + + +.. image-sg:: /generated/examples/tissue/images/sphx_glr_plot_extended_tofts_001.png + :alt: plot extended tofts + :srcset: /generated/examples/tissue/images/sphx_glr_plot_extended_tofts_001.png + :class: sphx-glr-single-img + + + + + +.. GENERATED FROM PYTHON SOURCE LINES 41-42 + +Comparing different discretization methods for an extracellular volume fraction of 0.2, Ktrans of 0.2 /min and vp of 0.05 + +.. GENERATED FROM PYTHON SOURCE LINES 42-54 + +.. code-block:: Python + + ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[0]) # Defaults to Convolution + plt.plot(t, ct, 'b-', label='Convolution') + ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp[0], discretization_method='exp') + plt.plot(t, ct, 'g-', label='Exponential Convolution') + plt.title(f'Ktrans = {Ktrans} /min') + plt.xlabel('Time (sec)') + plt.ylabel('Tissue concentration (mM)') + plt.legend() + plt.show() + + # Choose the last image as a thumbnail for the gallery + # sphinx_gallery_thumbnail_number = -1 + + + +.. image-sg:: /generated/examples/tissue/images/sphx_glr_plot_extended_tofts_002.png + :alt: Ktrans = 0.2 /min + :srcset: /generated/examples/tissue/images/sphx_glr_plot_extended_tofts_002.png + :class: sphx-glr-single-img + + + + + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** (0 minutes 0.113 seconds) + + +.. _sphx_glr_download_generated_examples_tissue_plot_extended_tofts.py: + +.. only:: html + + .. container:: sphx-glr-footer sphx-glr-footer-example + + .. container:: sphx-glr-download sphx-glr-download-jupyter + + :download:`Download Jupyter notebook: plot_extended_tofts.ipynb ` + + .. container:: sphx-glr-download sphx-glr-download-python + + :download:`Download Python source code: plot_extended_tofts.py ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/source/generated/examples/tissue/plot_extended_tofts_codeobj.pickle b/docs/source/generated/examples/tissue/plot_extended_tofts_codeobj.pickle new file mode 100755 index 0000000000000000000000000000000000000000..b503898ea2f48659e5f1a114120de121a16135e2 GIT binary patch literal 1405 zcmbW1K}+N?6vx+LI?haWS!GWOUIbBup1kgD*~=b;#fz{~GHq&tX%o^{cjmCL*MZ#3 zeqUeO*qN$eX-{eTfA9C+>wE8C@Lva?>c@nM6oMweWl>raUh9-I|UcSG^6FqELEaPxBBf~zG6PrB4--D^P(HtM;ApjHM>}h2bx~Kni+b5%OuXTsqSjKX}q?oS`?w+?q)n+>AQ92Gd=4D|S!KRVc;u^Yr4Jvv}B1%4RO&t?j- z9j-l$m{CGn@ote4tqHd0cB9_3+AmF`5}w71=m)C%(MzW92cK=UkE+#<1ut<2yei5=tF8N`-V;53obqN(!N<*d8L)J!=ox616vF@j literal 0 HcmV?d00001 diff --git a/docs/source/generated/examples/tissue/plot_tofts.ipynb b/docs/source/generated/examples/tissue/plot_tofts.ipynb old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/tissue/plot_tofts.py b/docs/source/generated/examples/tissue/plot_tofts.py old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/tissue/plot_tofts.py.md5 b/docs/source/generated/examples/tissue/plot_tofts.py.md5 old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/tissue/plot_tofts.rst b/docs/source/generated/examples/tissue/plot_tofts.rst old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/tissue/plot_tofts_codeobj.pickle b/docs/source/generated/examples/tissue/plot_tofts_codeobj.pickle old mode 100644 new mode 100755 diff --git a/docs/source/generated/examples/tissue/sg_execution_times.rst b/docs/source/generated/examples/tissue/sg_execution_times.rst old mode 100644 new mode 100755 index 54b7203..d653090 --- a/docs/source/generated/examples/tissue/sg_execution_times.rst +++ b/docs/source/generated/examples/tissue/sg_execution_times.rst @@ -6,8 +6,35 @@ Computation times ================= -**00:00.093** total execution time for **generated_examples_tissue** files: +**00:00.113** total execution time for 2 files **from generated/examples/tissue**: -+-----------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_generated_examples_tissue_plot_tofts.py` (``plot_tofts.py``) | 00:00.093 | 0.0 MB | -+-----------------------------------------------------------------------------+-----------+--------+ +.. container:: + + .. raw:: html + + + + + + + + .. list-table:: + :header-rows: 1 + :class: table table-striped sg-datatable + + * - Example + - Time + - Mem (MB) + * - :ref:`sphx_glr_generated_examples_tissue_plot_extended_tofts.py` (``plot_extended_tofts.py``) + - 00:00.113 + - 0.0 + * - :ref:`sphx_glr_generated_examples_tissue_plot_tofts.py` (``plot_tofts.py``) + - 00:00.000 + - 0.0 diff --git a/docs/source/index.rst b/docs/source/index.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/alphabetical.rst b/docs/source/reference/alphabetical.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/general.averaging.rst b/docs/source/reference/general.averaging.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/general.convolution.rst b/docs/source/reference/general.convolution.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/general.deconvolution.rst b/docs/source/reference/general.deconvolution.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/general.descriptive.rst b/docs/source/reference/general.descriptive.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/general.forward.rst b/docs/source/reference/general.forward.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/general.optimization.rst b/docs/source/reference/general.optimization.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/general.rst b/docs/source/reference/general.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/general.segmentation.rst b/docs/source/reference/general.segmentation.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/general.uncertainty.rst b/docs/source/reference/general.uncertainty.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/index.rst b/docs/source/reference/index.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/models.concentration.aif.rst b/docs/source/reference/models.concentration.aif.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/models.concentration.rst b/docs/source/reference/models.concentration.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/models.concentration.tissue.rst b/docs/source/reference/models.concentration.tissue.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/models.descriptive.rst b/docs/source/reference/models.descriptive.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/models.empproperties.rst b/docs/source/reference/models.empproperties.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/models.identity.rst b/docs/source/reference/models.identity.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/models.leakage.rst b/docs/source/reference/models.leakage.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/models.rst b/docs/source/reference/models.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/models.signal.rst b/docs/source/reference/models.signal.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/processes.R1.rst b/docs/source/reference/processes.R1.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/processes.aif.rst b/docs/source/reference/processes.aif.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/processes.baseline.rst b/docs/source/reference/processes.baseline.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/processes.bat.rst b/docs/source/reference/processes.bat.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/processes.calibration.rst b/docs/source/reference/processes.calibration.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/processes.concentration.rst b/docs/source/reference/processes.concentration.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/processes.leakage.rst b/docs/source/reference/processes.leakage.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/processes.parameters.rst b/docs/source/reference/processes.parameters.rst old mode 100644 new mode 100755 diff --git a/docs/source/reference/processes.rst b/docs/source/reference/processes.rst old mode 100644 new mode 100755 diff --git a/docs/source/sg_execution_times.rst b/docs/source/sg_execution_times.rst new file mode 100755 index 0000000..2f4c88e --- /dev/null +++ b/docs/source/sg_execution_times.rst @@ -0,0 +1,46 @@ + +:orphan: + +.. _sphx_glr_sg_execution_times: + + +Computation times +================= +**00:00.113** total execution time for 4 files **from all galleries**: + +.. container:: + + .. raw:: html + + + + + + + + .. list-table:: + :header-rows: 1 + :class: table table-striped sg-datatable + + * - Example + - Time + - Mem (MB) + * - :ref:`sphx_glr_generated_examples_tissue_plot_extended_tofts.py` (``../examples/tissue/plot_extended_tofts.py``) + - 00:00.113 + - 0.0 + * - :ref:`sphx_glr_generated_examples_aif_plot_aif_parker.py` (``../examples/aif/plot_aif_parker.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_generated_examples_aif_plot_dummy.py` (``../examples/aif/plot_dummy.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_generated_examples_tissue_plot_tofts.py` (``../examples/tissue/plot_tofts.py``) + - 00:00.000 + - 0.0 diff --git a/docs/source/user_guide/forward/forward.rst b/docs/source/user_guide/forward/forward.rst old mode 100644 new mode 100755 diff --git a/docs/source/user_guide/forward/index.rst b/docs/source/user_guide/forward/index.rst old mode 100644 new mode 100755 diff --git a/docs/source/user_guide/index.rst b/docs/source/user_guide/index.rst old mode 100644 new mode 100755 diff --git a/docs/source/user_guide/installation.rst b/docs/source/user_guide/installation.rst old mode 100644 new mode 100755 diff --git a/docs/source/user_guide/inverse/index.rst b/docs/source/user_guide/inverse/index.rst old mode 100644 new mode 100755 diff --git a/docs/source/user_guide/inverse/inverse.rst b/docs/source/user_guide/inverse/inverse.rst old mode 100644 new mode 100755 diff --git a/manage.py b/manage.py old mode 100644 new mode 100755 diff --git a/pyproject.toml b/pyproject.toml old mode 100644 new mode 100755 diff --git a/requirements.txt b/requirements.txt old mode 100644 new mode 100755 diff --git a/setup.py b/setup.py old mode 100644 new mode 100755 diff --git a/src/.DS_Store b/src/.DS_Store index d09ec79eab8b14eb8c65321c38f4a4bb6e14645a..a9dde3215eeb19096b6dc4e22e2c03b3c7c3f576 100644 GIT binary patch literal 8196 zcmeHMU2GIp6uxKL(itb%DFvylg=trXNE=!#B?YD1c5CPl7TEr5|0uIN1D!BCv+T@n z!HTIGeV|caj2cvYGRB}7jUZ7HV+_XdphhYN<4=4rJ{c2@`rw0}d+#jiwl?(%h|W#s zo;mlNbMKrp-??|sEFlEivU&p{m4pxxFG>{|yMJg@POk+`@JFZ+(4G)8G3llgmXlbZ z8w>;y2qF+fAc#N^fgl1mMg;K8rcGSr+~?Au4bvw zNQ-fpHN3|X> zqn*ms2}C#z`XB;91QtesrcDWPh)Yb8E~wwnCDNAZdiC{}K`1INSyn2Rin2Hsn{Xy$ zp5|rUHZ3zkxjx6S68U>AF<=^#)D2V_9W-s-nQU{iw(c_97#E0= zD2*$XQ&Wvi4YlgsTbqv6s#DFI>uc4CJ!GK)$^t7XN^2Ml*G=~&s6&9svl$Fg=iuIZVMJrwth zBOcYE6BUT!!>*I@+L>Y8#QC|_3c5ybni{(UM#e=dNz&=E%Bq?>H`Z_2))L*hyKh!0 zUr`~il2;GrOxH|UM*pO#dlN&Nn>1|Qv=0tr$ZgL&U>X@oIWP6uTFRKMC|{x6x+WBg zXA|b(tmz$9!lKBhS{JI8lr!R}j!x}zbZV$GNoZZ@4pAJTXs*|rHf&s;deN~i6dI!At-5aL=tM(vq>T)aeVA@X$qadhyhPq6XUJLd4*7_DO1>oDkRQn}SITH2tz31>>dI=GUCle%uY!=n zHjmV~8NfhakSYxH3cs8smj@g&8n;vVIoS*wy6$T@R@DfWmzf4l;pCO2(kn>1I|V}a3Y#tOCov+ zJYOW2$QANE`3dp-7b01LN~nhQPzPI~1zI5r9dIAwcMrr6!~G1y2}pttDa7$%hT{j} zA()1T5zRC31Y-Fq#PSKm@{4d1UV&HP6ubtn!&x{7@4|a<9xlKqaA_V|dkWDCUl*b^ z%tZBRV!)z z-?8}j|LgK>!Jt*zp2j_oq{$DMNQ_g?x{Qn#Md!>f} delta 149 zcmZp1XfcprU|?W$DortDU=RQ@Ie-{MGjdEU6q~50$jCG?VE1GL8J5ZX0^K6UCI&hR zrY6R bK*Ed+3`|g(1w;cmAUi?MVAvebGlv-f52hGx diff --git a/src/osipi/.DS_Store b/src/osipi/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..b3cd69956ed8783375ee30b99528c0503451262f GIT binary patch literal 6148 zcmeHKOHKnZ47H()O5JqHGHZ6d!BB-0^Z)~$BD!cbv+07}9D&ntfvWf7z1Vz43`np* z2-#BdoWyoKPnska5nUcO3z4~qOwou+WkfhVx^(8o6QGtDjoeBjTe*{ZB+y@+V(v3! zTT3So$o(zkde^RDL82}npH5d_S#Q2!-EH4z;mII)NH7o# z1Ovf9Fz`bLaA#AdGsEbEfnXpQcx8a+Lqa1~j=fhUPBn#fSRNFU5 np.ndarray: - """Extended tofts model as defined by ???. - - Note: - This function is not yet implemented. If you are implementing it yourself please consider submitting a code contribution to OSIPI, so nobody ever has to write this function again! + """Extended tofts model as defined by Tofts (1997) Args: t (np.ndarray): array of time points in units of sec. [OSIPI code Q.GE1.004] ca (np.ndarray): Arterial concentrations in mM for each time point in t. [OSIPI code Q.IC1.001] - Ktrans (float): Volume transfer constant in units of 1/sec. [OSIPI code Q.PH1.008] + Ktrans (float): Volume transfer constant in units of 1/min. [OSIPI code Q.PH1.008] ve (float): Relative volume fraction of the extracellular extravascular compartment (e). [OSIPI code Q.PH1.001.[e]] + vp (float): Relative volyme fraction of the plasma compartment (p). [OSIPI code Q.PH1.001.[p]] Ta (float, optional): Arterial delay time, i.e., difference in onset time between tissue curve and AIF in units of sec. Defaults to 30 seconds. [OSIPI code Q.PH1.007] discretization_method (str, optional): Defines the discretization method. Options include @@ -142,7 +140,7 @@ def extended_tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, Ta: - Lexicon url: https://osipi.github.io/OSIPI_CAPLEX/perfusionModels/#indicator-kinetic-models - Lexicon code: M.IC1.005 - OSIPI name: Extended Tofts Model - - Adapted from contributions by: TBC + - Adapted from contributions by: LEK_UoEdinburgh_UK, ST_USyd_AUS, MJT_UoEdinburgh_UK Example: @@ -160,13 +158,68 @@ def extended_tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, Ta: >>> ca = osipi.aif_parker(t) Calculate tissue concentrations and plot - >>> Ktrans = 0.6/60 # in units of 1/sec + >>> Ktrans = 0.6 # in units of 1/min >>> ve = 0.2 # takes values from 0 to 1 - >>> ct = osipi.extended_tofts(t, ca, Ktrans, ve) + >>> vp = 0.3 # takes values from 0 to 1 + >>> ct = osipi.extended_tofts(t, ca, Ktrans, ve, vp) >>> plt.plot(t, ca, 'r', t, ct, 'b') """ - msg = 'This function is not yet implemented \n' - msg += 'If you implement it yourself, please consider submitting it as an OSIPI code contribution' - raise NotImplementedError(msg) + if not np.allclose(np.diff(t), np.diff(t)[0]): + warnings.warn('Non-uniform time spacing detected. Time array may be resampled.', stacklevel=2) + + if Ktrans <= 0 or ve <= 0: + ct = 0 * ca + warnings.warn('Tissue concentration will be set to zero if Ktrans or ve are less than or equal to zero.', stacklevel=2) + else: + # Convert units + Ktrans = Ktrans/60 # from 1/min to 1/sec + + if discretization_method == 'exp': # Use exponential convolution + # Shift the AIF by the arterial delay time (if not zero) + if Ta != 0: + f = interp1d(t, ca, kind='linear', bounds_error=False, fill_value=0) + ca = (t > Ta) * f(t - Ta) + + Tc = ve / Ktrans + # expconv calculates convolution of ca and (1/Tc)exp(-t/Tc), add vp*ca term for extended model + ct = (vp * ca) + ve * exp_conv(Tc, t, ca) + + + else: # Use convolution by default + # Calculate the impulse response function + kep = Ktrans / ve + imp = Ktrans * np.exp(-1 * kep * t) + + # Shift the AIF by the arterial delay time (if not zero) + if Ta != 0: + f = interp1d(t, ca, kind='linear', bounds_error=False, fill_value=0) + ca = (t > Ta) * f(t - Ta) + + # Check if time data grid is uniformly spaced + if np.allclose(np.diff(t), np.diff(t)[0]): + # Convolve impulse response with AIF + convolution = np.convolve(ca, imp) + + # Discard unwanted points, make sure time spacing is correct and add vp*ca term for extended model + ct = convolution[0:len(t)] * t[1] + (vp * ca) + else: + # Resample at the smallest spacing + dt = np.min(np.diff(t)) + t_resampled = np.linspace(t[0], t[-1], int((t[-1]-t[0])/dt)) + ca_func = interp1d(t, ca, kind='quadratic', bounds_error=False, fill_value=0) + imp_func = interp1d(t, imp, kind='quadratic', bounds_error=False, fill_value=0) + ca_resampled = ca_func(t_resampled) + imp_resampled = imp_func(t_resampled) + # Convolve impulse response with AIF + convolution = np.convolve(ca_resampled, imp_resampled) + + # Discard unwanted points, make sure time spacing is correct and add vp*ca term for extended model + ct_resampled = convolution[0:len(t_resampled)] * t_resampled[1] + (vp * ca_resampled) + + # Restore time grid spacing + ct_func = interp1d(t_resampled, ct_resampled, kind='quadratic', bounds_error=False, fill_value=0) + ct = ct_func(t) + + return ct diff --git a/tests/.DS_Store b/tests/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..058ed8bd87f8bf4c7bed3de49bddeda70cc915de GIT binary patch literal 6148 zcmeHKOHKnZ47H()O5JqH1}RtQ4TfsiblU?Abc*Pr)y#$kyPSY!kHQVO7tgWzj2Ms* z5<=)%N}iM0j^{~}#3G{0yX`_`E+SJjLp5bYY0.0)) - np.min(np.where(ca>0.0)) - 1)*1 == 60.0 + + # 4. Test that the discretization options give almost the same result - time step must be very small + t = np.arange(0, 6 * 60, 0.01) ca = osipi.aif_parker(t) - try: - ct = osipi.extended_tofts(t, ca, Ktrans=0.6/60, ve=0.2) - except: - assert True - else: - assert False + ct_conv = osipi.extended_tofts(t, ca, Ktrans=0.6, ve=0.2, vp=0.3) + ct_exp = osipi.extended_tofts(t, ca, Ktrans=0.6, ve=0.2, vp=0.3, discretization_method='exp') + assert np.allclose(ct_conv, ct_exp, rtol=1e-4, atol=1e-3) + + # 5. Test that the ratio of the area under the ct and ca curves is approximately the extracellular volume plus the plasma volume + t = np.arange(0, 6 * 60, 1) + ca = osipi.aif_parker(t) + ct_conv = osipi.extended_tofts(t, ca, Ktrans=0.6, ve=0.2, vp=0.3) + ct_exp = osipi.extended_tofts(t, ca, Ktrans=0.6, ve=0.2, vp=0.3, discretization_method='exp') + assert math.isclose(np.trapz(ct_conv, t)/np.trapz(ca, t), 0.2+0.3, abs_tol=1e-1) + assert math.isclose(np.trapz(ct_exp, t)/np.trapz(ca, t), 0.2+0.3, abs_tol=1e-1) + + # 6. Test specific use cases + t = np.arange(0, 6 * 60, 1) + ca = osipi.aif_parker(t) + ct_conv = osipi.extended_tofts(t, ca, Ktrans=0, ve=0.2, vp=0.3) + assert np.count_nonzero(ct_conv) == 0 + + ct_exp = osipi.extended_tofts(t, ca, Ktrans=0, ve=0.2, vp=0.3, discretization_method='exp') + assert np.count_nonzero(ct_exp) == 0 + + ct_conv = osipi.extended_tofts(t, ca, Ktrans=0.6, ve=0, vp=0.3) + assert np.count_nonzero(ct_conv) == 0 + + ct_exp = osipi.extended_tofts(t, ca, Ktrans=0.6, ve=0, vp=0.3, discretization_method='exp') + assert np.count_nonzero(ct_exp) == 0 + if __name__ == "__main__": From 5ce3ba682e0e88afb391ca0617ced2acf3fb36c8 Mon Sep 17 00:00:00 2001 From: LucyKershaw Date: Fri, 16 Feb 2024 13:45:52 +0000 Subject: [PATCH 15/20] Edits as per ST suggestions 1) New line in _tissue.py to enable proper rendering of example 2) Added space between number and units 3) Warnings for Ktrans=0 and ve=0 removed to avoid warnings during fitting ) Extended_Tofts case for Ktrans or ve =0 changed to correct value (ca*vp) including tests --- .DS_Store | Bin 12292 -> 12292 bytes src/.DS_Store | Bin 8196 -> 8196 bytes src/osipi/_tissue.py | 10 ++++++---- tests/test_tissue.py | 8 ++++---- 4 files changed, 10 insertions(+), 8 deletions(-) diff --git a/.DS_Store b/.DS_Store index e6b70582e0e3bcf363af8563816a327c906b71f5..270460bfb43bd7ab29fb85f69b63235ad4a48a6c 100644 GIT binary patch delta 186 zcmZokXi1o`Ozy(neHVA^KkCSk&XCDalAG`1l9ZF5#K6G7!NAbqx$&YI`@{#lo7p)Y zaj;t&=qMPQm~Z|dV9FmS>*fno#KNG5UE?;8ktp&hC=jb&(1Ze delta 186 zcmZokXi1o`OwP*f|L0Zvk2*4>Gh{N9db5J~Z*~ZCvV!;%0Ewdz A?EnA( delta 48 zcmZp1XmQvuTY%lnP)EVo+-&k9fe5Bq^EUqxkY{5(eD8w)>dgw`zu6(o$qM360IoC> Aa{vGU diff --git a/src/osipi/_tissue.py b/src/osipi/_tissue.py index be30afc..a4643a1 100755 --- a/src/osipi/_tissue.py +++ b/src/osipi/_tissue.py @@ -50,6 +50,7 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, Ta: float = 3 >>> ca = osipi.aif_parker(t) Calculate tissue concentrations and plot: + >>> Ktrans = 0.6 # in units of 1/min >>> ve = 0.2 # takes values from 0 to 1 >>> ct = osipi.tofts(t, ca, Ktrans, ve) @@ -60,7 +61,7 @@ def tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, Ta: float = 3 if Ktrans <= 0 or ve <= 0: ct = 0 * ca - warnings.warn('Tissue concentration will be set to zero if Ktrans or ve are less than or equal to zero.', stacklevel=2) + else: # Convert units Ktrans = Ktrans/60 # from 1/min to 1/sec @@ -144,7 +145,7 @@ def extended_tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, vp: Example: - Create an array of time points covering 6min in steps of 1sec, calculate the Parker AIF at these time points, calculate tissue concentrations + Create an array of time points covering 6 min in steps of 1 sec, calculate the Parker AIF at these time points, calculate tissue concentrations using the Extended Tofts model and plot the results. Import packages: @@ -158,6 +159,7 @@ def extended_tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, vp: >>> ca = osipi.aif_parker(t) Calculate tissue concentrations and plot + >>> Ktrans = 0.6 # in units of 1/min >>> ve = 0.2 # takes values from 0 to 1 >>> vp = 0.3 # takes values from 0 to 1 @@ -169,8 +171,8 @@ def extended_tofts(t: np.ndarray, ca: np.ndarray, Ktrans: float, ve: float, vp: warnings.warn('Non-uniform time spacing detected. Time array may be resampled.', stacklevel=2) if Ktrans <= 0 or ve <= 0: - ct = 0 * ca - warnings.warn('Tissue concentration will be set to zero if Ktrans or ve are less than or equal to zero.', stacklevel=2) + ct = vp * ca + else: # Convert units Ktrans = Ktrans/60 # from 1/min to 1/sec diff --git a/tests/test_tissue.py b/tests/test_tissue.py index 8263419..e8132c5 100755 --- a/tests/test_tissue.py +++ b/tests/test_tissue.py @@ -92,16 +92,16 @@ def test_tissue_extended_tofts(): t = np.arange(0, 6 * 60, 1) ca = osipi.aif_parker(t) ct_conv = osipi.extended_tofts(t, ca, Ktrans=0, ve=0.2, vp=0.3) - assert np.count_nonzero(ct_conv) == 0 + assert math.allclose(ct_conv,ca*0.3,rtol=1e-4, atol=1e-3) ct_exp = osipi.extended_tofts(t, ca, Ktrans=0, ve=0.2, vp=0.3, discretization_method='exp') - assert np.count_nonzero(ct_exp) == 0 + assert math.allclose(ct_conv,ca*0.3,rtol=1e-4, atol=1e-3) ct_conv = osipi.extended_tofts(t, ca, Ktrans=0.6, ve=0, vp=0.3) - assert np.count_nonzero(ct_conv) == 0 + assert math.allclose(ct_conv,ca*0.3,rtol=1e-4, atol=1e-3) ct_exp = osipi.extended_tofts(t, ca, Ktrans=0.6, ve=0, vp=0.3, discretization_method='exp') - assert np.count_nonzero(ct_exp) == 0 + assert math.allclose(ct_conv,ca*0.3,rtol=1e-4, atol=1e-3) if __name__ == "__main__": From 7cd756ff81812be6ed57fbe7a46d0ee40ca15295 Mon Sep 17 00:00:00 2001 From: LucyKershaw Date: Fri, 16 Feb 2024 14:39:52 +0000 Subject: [PATCH 16/20] Corrected test_tissue typo in test_tissue --- .DS_Store | Bin 12292 -> 12292 bytes src/.DS_Store | Bin 8196 -> 8196 bytes src/osipi/.DS_Store | Bin 6148 -> 6148 bytes tests/test_tissue.py | 8 ++++---- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.DS_Store b/.DS_Store index 270460bfb43bd7ab29fb85f69b63235ad4a48a6c..c1fefa28d180c67d3f42dbdfa714f158be3401ec 100644 GIT binary patch delta 214 zcmZokXi1o`OpbwpLI3jpqmB&e44Diix%nH+u;xvavLHP209PUwk`9teY=TKMR8% zb~CquY(tSxL9r8Ez97ReI5|JJ0H}w7K{a7>vw{W_vJ31de^L@<+PQNxr}A$e00b65 ALI3~& diff --git a/src/.DS_Store b/src/.DS_Store index 25a4205717aa5993ad53183b0ffa6a8e9486bc94..7f04e6e49f21e8bf70be7dcf9d9a13d53aaf0896 100644 GIT binary patch delta 28 kcmZp1XmQvuOMt`7&{Rjk*urx1B7q2|8J9Ny5#Znl0EIaTRsaA1 delta 28 kcmZp1XmQvuOMt_~(m+SS*u;GDB7q2|nOisi5#Znl0EAWvH2?qr diff --git a/src/osipi/.DS_Store b/src/osipi/.DS_Store index b3cd69956ed8783375ee30b99528c0503451262f..79badd41efc4a521e1669c761ec6801b60249957 100644 GIT binary patch delta 31 ncmZoMXffDe!pP+OU@{M*)Z_q0e&*Z@`zKFel-XRz*d_)5pneK1 delta 27 icmZoMXffDe!pP)ucrp*8)Z_q0{>i Date: Fri, 15 Mar 2024 09:55:21 +1100 Subject: [PATCH 17/20] Delete .idea directory --- .idea/.gitignore | 8 ----- .idea/inspectionProfiles/Project_Default.xml | 18 ----------- .../inspectionProfiles/profiles_settings.xml | 6 ---- .idea/misc.xml | 4 --- .idea/modules.xml | 8 ----- .idea/other.xml | 6 ---- .idea/pypi.iml | 31 ------------------- .idea/vcs.xml | 6 ---- 8 files changed, 87 deletions(-) delete mode 100755 .idea/.gitignore delete mode 100755 .idea/inspectionProfiles/Project_Default.xml delete mode 100755 .idea/inspectionProfiles/profiles_settings.xml delete mode 100755 .idea/misc.xml delete mode 100755 .idea/modules.xml delete mode 100755 .idea/other.xml delete mode 100755 .idea/pypi.iml delete mode 100755 .idea/vcs.xml diff --git a/.idea/.gitignore b/.idea/.gitignore deleted file mode 100755 index 13566b8..0000000 --- a/.idea/.gitignore +++ /dev/null @@ -1,8 +0,0 @@ -# Default ignored files -/shelf/ -/workspace.xml -# Editor-based HTTP Client requests -/httpRequests/ -# Datasource local storage ignored files -/dataSources/ -/dataSources.local.xml diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml deleted file mode 100755 index 82d27b5..0000000 --- a/.idea/inspectionProfiles/Project_Default.xml +++ /dev/null @@ -1,18 +0,0 @@ - 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