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I am currently using fMRIPrep as a dependency for ASLPrep, and, while the currently version of init_bold_fsLR_resampling_wf allows me to convert preprocessed ASL files to CIFTIs, I can't use the goodvoxels mask generated from the ASL file when converting derived CBF maps to CIFTIs.
It might even be worth it to move init_bold_fsLR_resampling_wf to niworkflows, since it's useful beyond just BOLD data.
Do you have any interest in helping implement the feature?
Yes
Additional information / screenshots
This might be useful for PET as well (I'm not sure what PET processing looks like).
The text was updated successfully, but these errors were encountered:
So from the perspective of the workflow, we would be passing a volume_roi to the volume_to_surface node, and the input would change from bold_file to in_file. Goodvoxels would be run separately to provide input.
That seems fine to port a version of that over to niworkflows. We can adopt it here once it's in a release. Should be a pretty minor refactor.
@mnoergaard Would there be a PET use for resampling volumes to fsLR grayordinates? Any wrinkles that we should know about?
Closes#3169. This could just be a first step toward moving one or more of these workflows from fMRIPrep to niworkflows.
- Move `init_goodvoxels_bold_mask_wf` call out of `init_bold_fsLR_resampling_wf`. This will allow downstream tools (e.g., ASLPrep) to generate the goodvoxels mask from one file (the ASL time series) and apply it to others (e.g., CBF maps).
- Clean up `init_bold_fsLR_resampling_wf` (e.g., remove unused imports and add all parameters to docstring).
- Move BOLD-to-anatomical resampling workflow call from `resampling` level to `full` level, since it doesn't produce any outputs.
What would you like to see added in fMRIPrep?
I am currently using fMRIPrep as a dependency for ASLPrep, and, while the currently version of
init_bold_fsLR_resampling_wf
allows me to convert preprocessed ASL files to CIFTIs, I can't use the goodvoxels mask generated from the ASL file when converting derived CBF maps to CIFTIs.It might even be worth it to move
init_bold_fsLR_resampling_wf
to niworkflows, since it's useful beyond just BOLD data.Do you have any interest in helping implement the feature?
Yes
Additional information / screenshots
This might be useful for PET as well (I'm not sure what PET processing looks like).
The text was updated successfully, but these errors were encountered: