Hi Matt, Even if it is marginal a certain number of fibers are in the cortical and ROIs gray matter as assessed by fdt_paths.nii, I think I already mentioned this to Saad on fsl list. Have you been using the fsaverage32k surface as stop/targets or the full resolution (which I believe would produce huge matrix compared to the already huge matrix when using fsaverage32k) ?
Also I had a hard time to understand that for each fiber terminating on surfaces at it's endpoints all combinatorial pair of vertices of triangles which are hit are incremented. Cheers basile On Thu, Jun 5, 2014 at 9:45 AM, Glasser, Matthew <glass...@wusm.wustl.edu> wrote: > I’m a bit surprised at these issues with probtrackx (I’ve not had > problems with stop surfaces for example), perhaps you should ask for > help/clarification on the FSL list? It certainly would seem to be the path > of least resistance/most accurate to use FSL for tractography since it > already works with HCP data (and in the future we will be providing fiber > orientation results for FSL as well). Also if there are important features > missing, I think we would all like to know about that. > > Peace, > > Matt. > > From: basile pinsard <basile.pins...@gmail.com> > Date: Thursday, June 5, 2014 at 7:42 AM > To: Donna Dierker <do...@brainvis.wustl.edu> > Cc: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org> > Subject: Re: [HCP-Users] gifti labels to volume > > Many thanks for the answers > > @Timothy > I know that probtrackx2 support surfaces but I did not manage to make it > work without hectic results (fiber crossing the surfaces used as stop, > combinatorial counting of endpoints ... ), even if FSL seems the most able > to process multi-shell data. > > @Donna > I already tried the caret_command method but got stuck to converting the > gifti scalars to a metric/paint format, I will give it a try with the > command you mentioned, but still this implies a lot of conversion steps. > > However I wrote a python function that for each voxel in the cortical > ribbon finds the closest vertex on the surface and assigns the latter's > label,. The voxels which are close to the surface (white) should be > properly assigned the right label which is ok for me as I am using this as > target for tractography. > > Cheers > > basile > > > > On Thu, Jun 5, 2014 at 3:45 AM, Donna Dierker <do...@brainvis.wustl.edu> > wrote: > >> As far as I know, caret5's multi-fiducial mapping is volume->surface >> rahter than surface->volume. >> >> The caret_command method works, but you'll need to convert HCP surf.gii >> -> caret5 coord/topo (caret_command -file-convert -sc …). And your >> label.gii or func.gii will need to be converted, too (caret_command >> -file-convert -format-convert BINARY …). >> >> >> On Jun 4, 2014, at 7:22 PM, Timothy Coalson <tsc...@mst.edu> wrote: >> >> > Workbench currently doesn't have a way to do that. caret5 has a way to >> do this (caret_command -surface-to-volume, and there is another method >> called multi-fiducial mapping, though I'm not sure how to invoke it), >> though you may need to do some file conversion. >> > >> > On a side note, FSL's probtrackx does support surface data, and is >> generally what we advocate for tractography. >> > >> > Tim >> > >> > >> > >> > On Mon, Jun 2, 2014 at 8:50 AM, basile pinsard < >> basile.pins...@gmail.com> wrote: >> > Hi hcp experts, >> > >> > I was wondering if anybody knew a way to map back to volume the values >> in a surface gifti from HCP data. The main interest is to create ROIs on >> the surface using this topological constraint and then send it back to >> volume for let say a tractography software which does not support surface. >> > >> > mri_surf2vol won't work as it requires the freesurfer structure (which >> can certainly be restored by converting all the HCP files). >> > >> > Many thanks >> > >> > -- >> > Basile Pinsard >> > PhD candidate >> > Laboratoire d'Imagerie Biomédicale, UMR S 1146 / UMR 7371, Sorbonne >> Universités, UPMC, INSERM, CNRS >> > Unité de Neuroimagerie Fonctionnelle, CRIUGM, Université de Montréal >> > _______________________________________________ >> > HCP-Users mailing list >> > HCP-Users@humanconnectome.org >> > http://lists.humanconnectome.org/mailman/listinfo/hcp-users >> > >> > >> > _______________________________________________ >> > HCP-Users mailing list >> > HCP-Users@humanconnectome.org >> > http://lists.humanconnectome.org/mailman/listinfo/hcp-users >> > >> >> > > > -- > Basile Pinsard > > *PhD candidate * > Laboratoire d'Imagerie Biomédicale, UMR S 1146 / UMR 7371, Sorbonne > Universités, UPMC, INSERM, CNRS > Unité de Neuroimagerie Fonctionnelle, CRIUGM, Université de Montréal > > _______________________________________________ > HCP-Users mailing list > HCP-Users@humanconnectome.org > http://lists.humanconnectome.org/mailman/listinfo/hcp-users > > > ------------------------------ > > The materials in this message are private and may contain Protected > Healthcare Information or other information of a sensitive nature. If you > are not the intended recipient, be advised that any unauthorized use, > disclosure, copying or the taking of any action in reliance on the contents > of this information is strictly prohibited. If you have received this email > in error, please immediately notify the sender via telephone or return mail. > -- Basile Pinsard *PhD candidate* Laboratoire d'Imagerie Biomédicale, UMR S 1146 / UMR 7371, Sorbonne Universités, UPMC, INSERM, CNRS Unité de Neuroimagerie Fonctionnelle, CRIUGM, Université de Montréal _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
