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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