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Short description and the goals for the OHBM BrainHack
We plan to continue expanding the support for different modalities of NiPreps. Continuing on that line, we recently released MRIQC with beta support for dMRI data. dMRIPrep has long been in the works, and we expect to make progress on this front too. Finally, we may delve into the eddymotion project with the implementation of a Gaussian Process model for eddymotion, thereby enhancing the dMRIPrep preprocessing pipeline's capability to handle motion-related artifacts.
Therefore, we are planning to act on the following lines, depending on the appetite and preferences of brain hackers
MRIQC
improving the reportlets of the visual reports, including color FA, anisotropic power map, and/or carpetplot.
eddymotion
developing new models for diffusion and PET data:
Gaussian Process model to allow comparison vs. FSL topup (this line is most likely to directly contribute to DIPY).
PET model (continuing with the work initiated in the 2022 hackathon at OHBM Glasgow)
While we encourage participants of all skill levels to join, a good understanding of Python is recommended to contribute to this project. Some knowledge of diffusion MRI would also be helpful.
Title
dmri-nipreps
Short description and the goals for the OHBM BrainHack
We plan to continue expanding the support for different modalities of NiPreps. Continuing on that line, we recently released MRIQC with beta support for dMRI data. dMRIPrep has long been in the works, and we expect to make progress on this front too. Finally, we may delve into the eddymotion project with the implementation of a Gaussian Process model for eddymotion, thereby enhancing the dMRIPrep preprocessing pipeline's capability to handle motion-related artifacts.
Therefore, we are planning to act on the following lines, depending on the appetite and preferences of brain hackers
https://github.com/nipreps/mriqc
https://github.com/nipreps/eddymotion
https://github.com/nipreps/dmriprep
Link to the Project
https://github.com/nipreps
Image for the OHBM brainhack website
No response
Project lead
Ariel rokem (GitHub: @arokem, Discord: @arokem) and Teresa Gomez (Github: @teresamg)
Main Hub
Montreal
Other Hub covered by the leaders
Skills
While we encourage participants of all skill levels to join, a good understanding of Python is recommended to contribute to this project. Some knowledge of diffusion MRI would also be helpful.
Recommended tutorials for new contributors
Good first issues
No response
Twitter summary
No response
Short name for the Discord chat channel (~15 chars)
nipreps-dmri
Please read and follow the OHBM Code of Conduct
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