Open pvandyken opened 1 year ago
hi @pvandyken can you provide the content and/or figure for this project to be added to Brainhack Proceeding 2023 by 15th May? Also, please don't forget to fill out your team member's details using this form: https://forms.gle/Ku3AVHcXvpUqVVkV7 . Cheers
Hi @ufangYang, sorry, I haven't had time to put into this. Can you just put this modified version of our pitch:
cifti is a neuroimaging file format that flexibly stores vertex and voxel data in the same file. It's the format of choice in the HCP processing pipelines for storing surface maps, but can also be used for cortical parcellations, brain segmentations, structural and functional connectomes, and many other applications.
Currently, there isn't an easy way to handle this format in python. Nibabel has support, but the interface is unintuitive and bulky.
CiftiPy is a wrapper around nibabel offering a convenient, numpy-based interface for accessing and manipulating cifti files. It offers convenient methods for indexing cifti files by data-type, structure, and hemisphere, be easily and transparently viewed in an REPL (like pandas or xarray), and offer methods for common tasks.
Also, there was only space for one author in the form, not sure how to put my co-authors:
Mohamed Yousif - Robarts Research Institute Mauricio Cespedes Tenorio - Robarts Research Institute
Title
CiftiPy
Short description and the goals for the OHBM BrainHack
cifti
is a neuroimaging file format that flexibly stores vertex and voxel data in the same file. It's the format of choice in the HCP processing pipelines for storing surface maps, but can also be used for cortical parcellations, brain segmentations, structural and functional connectomes, and many other applications.Currently, there isn't an easy way to handle this format in python. Nibabel has support, but the interface is unintuitive and bulky.
CiftiPy will be a wrapper around nibabel offering a convenient, numpy-based interface for accessing and manipulating cifti files. It will offer convenient methods for indexing cifti files by data-type, structure, and hemisphere, be easily and transparently viewed in an REPL (like pandas or xarray), and offer methods for common tasks.
Goals
No code has been written yet, but we have a fairly clear plan for the API. The goal will be to implement, test, and document the core interfaces.
Long term
We are prioritizing robustness over number of features, so we're purposefully trying to keep the scope as small as possible. If we get a good cifti interface built, however, it could in principle be extended to support other neuroimaging file types (gifti, nifti), resulting in a generalized, user-friendly nibabel wrapper.
Link to the Project
https://github.com/pvandyken/ciftipy
Image for the OHBM brainhack website
No response
Project lead
Peter Van Dyken - pvandyken#9542 Mohamed Yousif - dunnom8#1502 Mauricio Cespedes Tenorio - mau_cespedes99#7386
Main Hub
Montreal
Other Hub covered by the leaders
Skills
(Any and none of these skills are welcome! This is more a list of what tech we'll use)
Recommended tutorials for new contributors
Good first issues
No response
Twitter summary
ciftipy makes it easy to view, index, and manipulate cifti files with python
Short name for the Discord chat channel (~15 chars)
ciftipy
Please read and follow the OHBM Code of Conduct