You probably don't need to create your own template - just use
mri_surf2surf to map the data (thickness, area, whatever) to fsaverage
and they will all have the same number of vertices
cheers
Bruce
On Sat, 20 Jun 2015,
xiaoran tong wrote:
Dear FreeSurfer team:
I'm trying to model the cortical surface features with a artificial neural
network. I need a uniformed number of input features but it turns out the
vertices count varies from subject to subject.
Is that possible to map the vertices in the Talairach space of XYZ to the
sphere template space of theta and phi, so I can work on 2D pictures of
uniformed length and width? Probably 251 x 256 like the FreeSurfer *.tif
template files.
According to
https://surfer.nmr.mgh.harvard.edu/fswiki/TemplateTifImageFiles
and
https://surfer.nmr.mgh.harvard.edu/fswiki/SurfaceRegAndTemplates
, I tried to create one registration template per subject with
make_average_subject command in this manner:
make_average_subject --subjects sbj_i --out sbj_i_template
, in the hope that I could at least extract the mean curvature and convexity
of that subject in 2-D theta phe space from the resulting sbj_i_template.tif
files.
It sounds ridiculous to call "make_average_subject" on just every single
subject, but I couldn't think of any way to extract vertex measures and in
the them 2D (theta, phi) space. I'm not sure this is correct.
Beside curvatures, how should I extract other type of vertex features, like
area, volume, and thickness in the 2D template space?
I'll be thankful for any suggestions.
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