Hi,
So far, I have results from autorecon1 & -subcortseg. The aseg.stats that are obtained following these procedures contain measures of L & R-Cerebral-White-Matter and Cerebral Cortex. If I created masks (bitmaps) using these labels in FreeSurfer, would they be equivalent to whole-brain WM and GM, or do I need to use maps/surfaces created further along in the FreeSurfer processing stream (if so, which would be accurate)?
In general, how would these differ from the tissue segmentations obtained using FSL-FAST?
Thank-you for your help,
Julie
Julie E. McEntee, MA, CCRP Senior Research Program Coordinator Department of Psychiatry- Neuroimaging Johns Hopkins University School of Medicine 600 N. Wolfe St./Phipps 300 Baltimore, MD 21287 Phone: 410-502-0468 Fax: 410-614-3676
Hi Julie,
not sure what to say re FAST. They are different algorithms with the same goal, and so will generate somewhat different results.
In general we find that the surface-based measures of cortex are more accurate than the voxel ones.
cheers, Bruce
On Fri, 4 Dec 2009, Julie McEntee wrote:
Hi,
So far, I have results from autorecon1 & -subcortseg. The aseg.stats that are obtained following these procedures contain measures of L & R-Cerebral-White-Matter and Cerebral Cortex. If I created masks (bitmaps) using these labels in FreeSurfer, would they be equivalent to whole-brain WM and GM, or do I need to use maps/surfaces created further along in the FreeSurfer processing stream (if so, which would be accurate)?
In general, how would these differ from the tissue segmentations obtained using FSL-FAST?
Thank-you for your help,
Julie
Julie E. McEntee, MA, CCRP Senior Research Program Coordinator Department of Psychiatry- Neuroimaging Johns Hopkins University School of Medicine 600 N. Wolfe St./Phipps 300 Baltimore, MD 21287 Phone: 410-502-0468 Fax: 410-614-3676
freesurfer@nmr.mgh.harvard.edu