Perfect. Thanks!
On Wed, Apr 9, 2014 at 10:22 AM, Douglas N Greve
<gr...@nmr.mgh.harvard.edu>wrote:
>
> you'll need to figure it out from the volume itself by loading the seg
> with both -seg and -aux. When you find the label you want, click on it
> and the aux value in the control window will tell you what the id is
>
> doug
>
> On 04/09/2014 09:41 AM, Corinna Bauer wrote:
> > In the mri_extract_label, there is a label number. Where would I find
> > this for the new labels?
> >
> > i.e. mri_extract_label ${subj_dir}/mri/aparc+aseg.mgz 2035
> > ${subj_dir}/hardi_labels/ctx-rh-insula.nii
> >
> >
> > On Tue, Apr 8, 2014 at 10:50 PM, Douglas Greve
> > <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>> wrote:
> >
> > yep, exactly
> >
> >
> > On 4/8/14 6:00 PM, Corinna Bauer wrote:
> >> Hi Doug,
> >> After I have the labels then in each subject's T1 space, I will
> >> need to then put them into diffusion and resting state space.
> >>
> >> I already have scripts that put the parcellations into
> >> subject-specific diffusion/resting state space (using bbregister,
> >> tkregister2, mri_vol2vol (using the inverse registration from
> >> bbregister to put the T1 into diffusion space), mri_extract_label
> >> (extract labels from aparc+aseg.mgz), and then mri_label2vol
> >> (register each of the extracted labels into diffusion space).
> >> Would a similar approach work for the new labels?
> >>
> >> Corinna
> >>
> >>
> >> On Tue, Apr 8, 2014 at 5:42 PM, Douglas N Greve
> >> <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>>
> wrote:
> >>
> >>
> >> Exactly what you have described won't work very well because
> >> it would be
> >> in the volume. I would divide up the parcellations in
> >> fsaverage space
> >> like you've done, then map the parcellation to each subject
> using
> >> mri_surf2surf (--sval-annot, see example 6)
> >>
> >> doug
> >>
> >> On 04/08/2014 04:54 PM, Corinna Bauer wrote:
> >> > Hello all,
> >> >
> >> > I am planning to use mris_divide_parcellation to split the
> >> Desikan
> >> > atlas into smaller ROIs, but will need the new ROIs to be
> >> consistent
> >> > between subjects.
> >> >
> >> > Can I achieve this if I register each subject to fsaverage
> >> space and
> >> > then apply the inverse transform to the divided
> >> parcellations (which
> >> > are currently done on the fsaverage brain)?
> >> >
> >> > If so, for extracting each label, what would be used for
> >> the label
> >> > number?
> >> > (i.e. mri_extract_label ${subj_dir}/mri/aparc+aseg.mgz *2035*
> >> > ${subj_dir}/hardi_labels/ctx-rh-insula.nii)
> >> >
> >> >
> >> > Thanks
> >> >
> >> > Corinna
> >> >
> >> >
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> >> --
> >> Douglas N. Greve, Ph.D.
> >> MGH-NMR Center
> >> gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>
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> --
> Douglas N. Greve, Ph.D.
> MGH-NMR Center
> gr...@nmr.mgh.harvard.edu
> Phone Number: 617-724-2358
> Fax: 617-726-7422
>
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