Dear Freesurfer-Team,
I am trying to study volume based neuronal activities via a Spatio Temporal Clustering Test. Therefore I need to morph my subjects to an average subject. I couldn't find a non-linear morphing command to perform this. Is there any function and can I extract to resulting morphing map that was used to morph the subjects ? Something like the /'hemisphere'.sphere.reg/ files, which are automatically created by the 'recon-all' function. Additionally is it possible to extract the volume neighboring connection from a /'hemisphere'.volume/ file ?
For further information: I am going to use mne-python to perform the Spatio-Temporal-Clustering. They are extracting the vertice connections via a function ( /_get_subject_sphere_tris(subject_from, subjects_dir)/ ) from the /'hemisphere'.sphere.reg/ files. Can I also do this for volume data files created by FreeSurfer.
Looking forward to your reply. I am glad to any kind of corporation, I really want this study to work, since the results will be very interesting.
Yours sincerely,
Daniel van de Velden
Hi Daniel
yes, CVS can extend the nonlinear surface warp into the volume
cheers Bruce
On Mon, 4 Sep 2017, Daniel van de Velden wrote:
Dear Freesurfer-Team,
I am trying to study volume based neuronal activities via a Spatio Temporal Clustering Test. Therefore I need to morph my subjects to an average subject. I couldn't find a non-linear morphing command to perform this. Is there any function and can I extract to resulting morphing map that was used to morph the subjects ? Something like the 'hemisphere'.sphere.reg files, which are automatically created by the 'recon-all' function. Additionally is it possible to extract the volume neighboring connection from a 'hemisphere'.volume file ?
For further information: I am going to use mne-python to perform the Spatio-Temporal-Clustering. They are extracting the vertice connections via a function ( _get_subject_sphere_tris(subject_from, subjects_dir) ) from the 'hemisphere'.sphere.reg files. Can I also do this for volume data files created by FreeSurfer.
Looking forward to your reply. I am glad to any kind of corporation, I really want this study to work, since the results will be very interesting.
Yours sincerely,
Daniel van de Velden
Dear Bruce,
thanks for your reply. Since the documentation of the output of this function is poor, could you tell me what resulting files I can expect by performing CVS? Also my other question: Since the connectivity between vertices can be read from ?h.sphere.reg, is this also possible to get the relationship between voxels out of any file ?
I am very thankful for your reply.
Greetings, Daniel van de Velden
-----Ursprüngliche Nachricht----- Von: freesurfer-bounces@nmr.mgh.harvard.edu [mailto:freesurfer-bounces@nmr.mgh.harvard.edu] Im Auftrag von Bruce Fischl Gesendet: Montag, 4. September 2017 16:22 An: Freesurfer support list freesurfer@nmr.mgh.harvard.edu Cc: Lilla Zollei lzollei@nmr.mgh.harvard.edu Betreff: Re: [Freesurfer] volume registration; volume connections;
Hi Daniel
yes, CVS can extend the nonlinear surface warp into the volume
cheers Bruce
On Mon, 4 Sep 2017, Daniel van de Velden wrote:
Dear Freesurfer-Team,
I am trying to study volume based neuronal activities via a Spatio Temporal Clustering Test. Therefore I need to morph my subjects to an average subject. I couldn't find a non-linear morphing command to perform this. Is there any function and can I extract to resulting morphing map that was used to morph the subjects ? Something like the 'hemisphere'.sphere.reg files, which are automatically created by the 'recon-all' function. Additionally is it possible to extract the volume neighboring connection from a 'hemisphere'.volume file ?
For further information: I am going to use mne-python to perform the Spatio-Temporal-Clustering. They are extracting the vertice connections via a function ( _get_subject_sphere_tris(subject_from, subjects_dir) ) from the 'hemisphere'.sphere.reg files. Can I also do this for volume data files created by FreeSurfer.
Looking forward to your reply. I am glad to any kind of corporation, I really want this study to work, since the results will be very interesting.
Yours sincerely,
Daniel van de Velden
freesurfer@nmr.mgh.harvard.edu