Hi Bruce, We wanted to map values from a previous analysis to a representation of the brain with the sulci filled — something that resembles the output lh.pial-outer-smoothed from the recon-all -localGI. I tried using mri_surf2surf, but I get the error:
ERROR: dimension inconsistency in source data Number of surface vertices = 163842 Number of value vertices = 73466 My command: mri_surf2surf --srcsubject fsaverage_1 --trgsubject fsaverage --sval ./lh.test.nii --tval lh.pial-outer-smoothed2white.nii --hemi lh fsaverage_1 is a copy of fsaverage that I ran recon-all -localGI on to get the pial-outer-smoothed surface. Ryan Michael Nillo Staff Research Associate I University of California San Francisco Department of Radiology and Biomedical Imaging > On Jul 1, 2019, at 10:27 AM, Bruce Fischl <fis...@nmr.mgh.harvard.edu> wrote: > > Hi Ryan > > I'm not sure why you would have a surface with 73K vertices on fsaverage. Why > not use one of the ico representations (40K or 160K vertices)? In any case, > mri_surf2surf should do the trick, although you will probably need to create > a new subject with a set of 73K vertex surfaces > > cheers > Bruce > On Mon, 1 Jul 2019, Nillo, Ryan Michael R wrote: > >> Hello Freesurfer users/developers, >> I have surface with ~73,400 vertices generated from the Freesurfer version 6 >> fsaverage brain, left hemisphere. I have a surface map that was created by >> mapping a volume to the fsaverage white surface. Is there a way to map the >> surface map to the new surface with less vertices? Is there a way to map >> values from the 73,000 vertices-map to the standard fsaverage pal surface? >> Thanks in advance, >> Ryan Michael Nillo >> Staff Research Associate I >> University of California San Francisco >> Department of Radiology and Biomedical Imaging > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://urldefense.proofpoint.com/v2/url?u=https-3A__mail.nmr.mgh.harvard.edu_mailman_listinfo_freesurfer&d=DwICAg&c=iORugZls2LlYyCAZRB3XLg&r=-dSNp2WfY7DySdV4_Sqc4m6hoXOmD3OskcWVyhGbe1U&m=aI3KHyWjwZdI30RWj_f9dSUns7AMWcCrba9ZabJNI7w&s=Dl9keiwCh5CkYL34O0rnLQUOtm3qH01lSoG5FGod7Ow&e=
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