Hi Kyung

you should look at the mris_convert help. It has an example of how to convert a scalar overlay like a curv file to ascii:



Convert a scalar overlay file to ascii:
  mris_convert -c lh.thickness lh.white lh.thickness.asc


it needs the surface as an input to do the conversion properly.

cheers
Bruce

On Fri, 2 Feb 2018, 박경일 wrote:

Hi Bruce
I found a directory having a file with ".curv", open terminal and run following 
command.

[root@localhost surf]# mris_convert rh.curv rh.curv.asc
nquads=4587523,  nvertices=476
ERROR: MRISread: file 'rh.curv' has many more faces than vertices!
Probably trying to use a scalar data file as a surface!
No such file or directory

what is wrong?

Thanks as always.

Kyung

2018-01-31 0:04 GMT+09:00 Bruce Fischl <fis...@nmr.mgh.harvard.edu>:
      Hi Kyung

      the thickness values are stored as "curvature" file format that you can 
load into matlab
      with read_curv.m. Alternatively, you can convert them to ascii with 
mris_convert and do
      what you want with them. For each index, you can look up its location on 
the white or
      pial (or whatever surface). That is, for the 2nd thickness value (index 
1), you would go
      find vertex #1 on the other surface and read its location that way

      cheers
      Bruce
      On Tue, 30 Jan 2018, 박경일 wrote:

            Hi Bruce, I am very new for FS, so did not understand you comments
            completely. sorry..

            For cortical thickness from each vertex in one subject, which 
scripts should
            follow "mris_convert"?
            And another question is how to recognize the location of each 
vertex in
            brain finally.

            thank you so much

            Kyung
             

            2017-11-13 10:06 GMT+09:00 Bruce Fischl 
<fis...@nmr.mgh.harvard.edu>:
                  p.s. if you want the vertices to correspond, first run 
recon-all
            -qcache for each
                  subject. That will generate a set of thickness maps in 
fsaverage space
            at predefined
                  smoothing levels (so that the vertex numbers correspond across
            subjects)

                  On Mon, 13 Nov 2017, 박경일 wrote:

                        Hi Bruce,What I want is the values of cortical 
thickness in each
            vertex in
                        each subject. Is that
                        possible?
                        Thanks so much.

                        Kyung

                         

                        2017-11-13 0:43 GMT+09:00 Bruce Fischl
            <fis...@nmr.mgh.harvard.edu>:
                              Hi Kyung

                              you can load them into matlab or convert them to 
ascii if
            you want
                              Bruce
                              On Sun, 12 Nov 2017, 박경일 wrote:

                                    Dear FS experts,
                                    I could get QDEC image comparing two groups.
                                    However, is there a way to get numerical 
values of
            cortical
                        thickness in
                                    each vertex?

                                    Thank you

                                    Best,
                                    Kyung




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            Healthcare System Gangnam Center.

            Office: 82-2-2112-5756 / Fax: 82-2-2112-5635 

            Email: kip...@snuh.org / ideo...@gmail.com



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Office: 82-2-2112-5756 / Fax: 82-2-2112-5635 

Email: kip...@snuh.org / ideo...@gmail.com


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