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tedana is a python package for multi-echo EPI denoising. It relies on preprocessed data, and therefore requires integration into larger pipelines like afni_proc.py and fMRIPrep. Our goal was to improve this integration and remove the need for duplicated code.
Project Significance
tedana was originally developed in part at the NIH-FMRIF, and it has been supported by the AFNI team for the past several years. This support has lead to widespread adoption, with multiple groups outside of the NIH using and modifying the tedana code base to suit their particular needs. However, this code has not been fed back to the AFNI code base, and the lack of communication between groups has yielded a significant support burden for the AFNI team. The intention of the tedana project is to provide a central, maintainable repository for multi-echo EPI denoising, with accompanying documentation and support. By better integrating this new tedana implementation into afni_proc.py and fMRIPrep, we will provide increased user support, standardize calls across systems, and relieve some of the maintenance burden from the AFNI team, all while de-duplicating code.
Progress Report
At Code Convergence, we were able to make significant progress on several initiatives to improve tedana support in both fMRIPrep and afni_proc.py. This was only possible because core maintainers from all of these projects were present in the same room, and we were therefore able to identify issues that might have been missed in silo'ed conversations. Please see Project URLs for a partial listing of code that came out of the event.
Improving tedana support in
afni_proc.py
andfMRIPrep
Contributors
Project Summary
tedana
is a python package for multi-echo EPI denoising. It relies on preprocessed data, and therefore requires integration into larger pipelines likeafni_proc.py
andfMRIPrep
. Our goal was to improve this integration and remove the need for duplicated code.Project Significance
tedana
was originally developed in part at the NIH-FMRIF, and it has been supported by the AFNI team for the past several years. This support has lead to widespread adoption, with multiple groups outside of the NIH using and modifying thetedana
code base to suit their particular needs. However, this code has not been fed back to the AFNI code base, and the lack of communication between groups has yielded a significant support burden for the AFNI team. The intention of thetedana
project is to provide a central, maintainable repository for multi-echo EPI denoising, with accompanying documentation and support. By better integrating this newtedana
implementation intoafni_proc.py
andfMRIPrep
, we will provide increased user support, standardize calls across systems, and relieve some of the maintenance burden from the AFNI team, all while de-duplicating code.Progress Report
At Code Convergence, we were able to make significant progress on several initiatives to improve
tedana
support in bothfMRIPrep
andafni_proc.py
. This was only possible because core maintainers from all of these projects were present in the same room, and we were therefore able to identify issues that might have been missed in silo'ed conversations. Please see Project URLs for a partial listing of code that came out of the event.Project URLs
https://tedana.readthedocs.io
nipreps/fmriprep#1263
nipreps/fmriprep#1278
ME-ICA/tedana#128
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