sorry, I still don't understand what the issue is. read_surf will give you the surface geometry/topology, and read_curv will give you the scalar fields to display over them. You can use mri_surf2surf to map them into a common space (the fsaverage surface for example)
cheers
Bruce
On Thu, 11 Jul 2013, fatma zribi wrote:
Hi Bruce,
I would like to use information about curv and sulc of a population and plot
the variance with plot_mesh (variance presented in one brain)
With best regards,
Fatma
2013/7/11 Bruce Fischl <fischl@nmr.mgh.harvard.edu>
Hi Fatma
I don't understand your question. read_curv returns a scalar
field over the surface, not the surface itself, which is why it
is nvertices x 1. Use read_surf to read the surface topology in
cheers
Bruce
On Thu, 11 Jul 2013, fatma zribi wrote:
Dear Bruce,
Now i would like to use the function read_curv but I
have a problem of
dimension .. curv is a vector of [143704,1] and
vertices must be a matrix of
[3, 143704]
Would you mind help me and send an exemple of the
use of the function wiht
the visualisation of the brain
[curv, fnum] =
read_curv([SD_atlas.parms.SUBJECTS_DIR '/'
SD_atlas.parms.SUBJECT '/surf/' SD_atlas.parms.hemi
'.curv']);
white_sbjMesh.vertices = curv';
white_sbjMesh.faces=(fnum+1)';
SD_white_remeshed{j}.vertices =
MARS_linearInterpolate(max_mesh.vertices,
SD_sphere_sbjMesh, white_sbjMesh.vertices);
SD_avg_mesh.vertices =
SD_avg_mesh.vertices+SD_white_remeshed{j}.vertices;
Thank you very much for your help
with best regards,
Fatma
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