-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Showing
1 changed file
with
25 additions
and
2 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,2 +1,25 @@ | ||
# dynamic_lung_water | ||
Dynamic Lung Water analysis for the publication "Dynamic lung water magnetic resonance imaging during exercise stress". | ||
# Dynamic lung water magnetic resonance imaging during exercise stress | ||
This code is for the manuscript (in sub): Seemann, F., et al. Dynamic lung water magnetic resonance imaging during exercise stress | ||
|
||
## This repository contains | ||
- Matlab pipeline code for inline reconstruction and analysis | ||
- Python processing for lung segmentation for analysis | ||
- Image registration package | ||
|
||
# NHLBI TOOLBOX GADGETRON Installation | ||
Repository with gadgetron image reconstruction code: https://github.com/NHLBI-MR/selfgated_noncartesian_reconstruction.git | ||
|
||
% GADGETRON MATLAB | ||
- Install application through matlab | ||
- https://www.mathworks.com/matlabcentral/fileexchange/72715-gadgetron | ||
- Make directory "+nhlbi" inside the +gadgetron class | ||
|
||
# Requires python packages | ||
- numpy | ||
- matplotlib | ||
- torch | ||
- torchvision | ||
- scipy | ||
|
||
pip install numpy matplotlib torch torchvision scipy | ||
the trained neural network is named best_lung_seg_model.pkl and is saved in the python folder |