Dear Freesurfers,

I would like that surface analyses (i.e., cortical thickness) are not 
confounded by subcortical lesions in patients. Freesurfer provides a 
work-around in its release notes ( 
http://surfer.nmr.mgh.harvard.edu/fswiki/ReleaseNotes), which is to set lesion 
voxels in brainmask.mgz and norm.mgz to 110 and in aseg.mgz to 77 and then run 
recon-all -autorecon2-cp (see copy text underneath).
  
As I have lesion masks of every patient I thought it would be best to 
automatize this step. In that case, I would like to bring mask images with 
white matter lesions of these patients in the same (freesurfer) space as my 
T1.mgz, with dimensions 256 x 256 x 256, spacing 1 x 1 x 1., and after that set 
the lesions to the aforementioned values.

Is there a possibility to bring lesion mask of these patients in the same space 
as T1.mgz in freesurfer? I inspected the function bbregister and mri_convert 
but could not find a solution here.
Any help or suggestions are appreciated!

Ruthger Righart (PhD)
Institute for Stroke and Dementia Research (ISD)
Klinikum der Universität München
Max-Lebsche-Platz 30
81377 Munich | Germany

ruthger.righ...@med.uni-muenchen.de







http://surfer.nmr.mgh.harvard.edu/fswiki/ReleaseNotes

        •       mris_make_surfaces: where wm lesions exist, even if the lesion 
is filled in wm.mgz volume, when mris_make_surfaces is run to create the final 
surfaces, because it uses brain.finalsurfs.mgz for its intensity info, and 
doesnt consider the fill data in wm.mgz, its possible for surfaces to not 
follow grey matter on the perimeter of the lesion. A fix will appear in a 
future release. A potential work-around is to set lesion voxels in 
brainmask.mgz and norm.mgz to 110 and lesions voxels in aseg.mgz to 77 (lesion 
mask can be derived manually or from an automated algorithm), then run 
recon-all -autorecon2-cp
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