This is not a super easy thing to do, but it is possible if you have matlab. First, go to the subject's surf directory and run mri_convert lh.thickness lh.template.mgh This just creates a template that can be loaded into matlab. Load the aparc.annot into matlab with read_annotation.m. Load the template with t = MRIread('lh.template.mgh'); t.vol = zeros(t.volsize); % make sure all values are 0 Find the indices in label that match middletemporal, and set them to your target value in t.vol: t.vol(indices) = 0.000757119; Do this for all of your ROIs Then write out the structure with MRIwrite(t,'youdata.mgh'); You an then view it with tksurfer with tksurfer subject lh inflated -aparc -overlay yourdata.mgh
doug
Weisinger, Brian (NIH/NIMH) [F] wrote:
hello
we are trying to project a vector of results for segmented cortical regions (i.e., ... "lh_middletemporal_thickness" 0.000757119 "rh_middletemporal_thickness" 8.06E-05 "lh_parahippocampal_thickness" -0.000510407 "rh_parahippocampal_thickness" 0.000625997 "lh_pericalcarine_thickness" 0.000499749 "rh_pericalcarine_thickness" 0.000903678 "lh_superiortemporal_thickness" 0.001732855 "rh_superiortemporal_thickness" 0.000184256 "lh_temporalpole_thickness" 0.001075362 "rh_temporalpole_thickness" -0.000381165 "lh_transversetemporal_thickness" 0.000558122 "rh_transversetemporal_thickness" 6.65E-05 ...)
however, we are unsure of how to do this. so, our question is— what is the sequence of steps we need to take to visualize our results on the segmented 3D template in tksurfer.
Thanks for your help,
Brian Weisinger
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