Hi All,
I need to classify WM into different lobes (temporal, parietal, frontal, occipital). I tried to do the lobe mapping using parcellations from wmparc.mgz. http://surfer.nmr.mgh.harvard.edu/fswiki/CorticalParcellation
My problem is the "unsegmented white matter" in wmparc.mgz. My understanding is that these unsegmented areas are classified so because they are beyond 5mm from any pre-classified cortex area.
My questions: (1) So in order to classify "unsegmented WM" into lobes, do I need to take each voxel in the unsegmented WM region and then assign it to the closest cortex area to classify it into respective parcellations. Then re-group into lobes. Is this correct?
(2) Are there any tailor made function or any other easier way to do this? Is there any easier way to segment WM into lobes directly that I have missed?
Thanks, Brain