Hi, it’s been suggested to me to use subject-specific ROIs from freesurfer parcelation in another analysis, using a different MRI modality, that is carried in the volume space. I followed other posts on this forum to use mri_label2vol function, starting with a whole a2009s annot (that I planned to slice into individual ROIs later when it’s a nii file, but getting individual labels is also an option).
I went for the “whole gray matter”, ranging from 0 to 1, but the output regions have many missing voxels and seem to be “fuzzy”. I know that mapping from freesurfer surface space to volume space is always tricky, but are there any major steps/areas of improvement here?
Command used (and if a helper script was used, a link to the helper script or the command generated):
Thank you for your answer!
I can’t see --fill-ribbon flag in the mri_label2voldocumentation. On the other hand, --fillthresh 0 resulted in identical maps to the ones posted above.
You were absolutely right! This is high res data and I was trying to do that on my laptop. So I went to our lab cluster…and the same thing happened. So I switched from --annot to individual --label and it worked! The issue was just too many vertices in the data!