Hi Mehul,

Mehul Sampat wrote:
> Thanks Doug.
>
> Using mri_label2vol is a good idea and I will use this approach.
> Now to create the individual binary masks I just need to use 
> mri_label2vol, followed by mri_binarize:
>
> For example:
>
> a. mri_label2vol --seg aparc+aseg.mgz --regheader rawavg.mgz --o 
> aparc+aseg-in-rawavg.mgz --temp aparc+aseg.mgz
The template here should be rawavg.mgz, I think.
> b. mri_binarize --i aparc+aseg-in-rawavg.mgz --match 1022 --o 
> lh-postcentral.nii
>
> Also, when I looked at the help, I first thought I could do the same 
> thing with mri_annotation2label followed by mri_label2vol .
>
> for example:
>
> a. mri_annotation2label --subject bert --hemi lh --annotation aparc 
> --outdir labels
> b. mri_label2vol --label ../labels/lh.postcentral.label --regheader 
> rawavg.mgz --o lh-postcentral.nii --temp aparc+aseg.mgz
Again, use rawavg.mgz as the temp. Also you should be able to use 
mri_label2vol directly on the annotation (with --annot).

doug
>
> But when I checks the results, (from using  mri_annotation2label 
> followed by mri_label2vol), the individual binary mask looks incorrect
> Did I make an error in the second approach ?
>
> Thanks
> Mehul
>
>
>
>
> On Tue, Jul 13, 2010 at 2:41 PM, Douglas N Greve 
> <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>> wrote:
>
>     I think either should work, though I am more comfortable with
>     mri_vol2vol. Depending on what you are doing you might want to use
>     mri_label2vol. This can convert the aseg.mgz directly to the
>     native anatomical space. The main difference is that it will
>     resolve boundary voxels by voting. With your method, you will have
>     some voxels that  will be in more than one label, which may or may
>     not be a problem depending on what you are doing.
>
>     doug
>
>     Mehul Sampat wrote:
>
>         Hi Folks,
>
>         I would like to create binary masks for any given structure in
>         aseg.mgz and aparc+aseg.mgz.
>         I would then also like to map the masks back to native space.
>
>         I think, I should use mri_binarize followed by mri_convert as
>         shown in the two examples below:
>
>         Example 1:
>         a. mri_binarize --i mri/aseg.mgz --match 10 --o
>         deep-gm-rois/lh-thalamus.mgz
>         b. mri_convert -rl mri/orig/001.mgz -rt nearest
>         deep-gm-rois/lh-thalamus.mgz deep-gm-rois/lh-thalamus.nii
>
>         Example 2:
>         a. mri_binarize --i mri/aparc+aseg.mgz --match 1022 --o
>         ctx-gm-rois/lh-postcentral.mgz
>         b. mri_convert -rl mri/orig/001.mgz -rt nearest
>         ctx-gm-rois/lh-postcentral.mgz ctx-gm-rois/lh-postcentral.nii
>
>         Ques 1: Is the best approach for this task ?
>
>         I noticed in the FAQ that mri_vol2vol is recommended for
>         conversion from freesurfer space to anantomical space.
>
>         Ques 2: Is it better to use mri_vol2vol than mri_convert with
>         the reslice option ?
>         Thanks
>         Mehul
>
>         
> ------------------------------------------------------------------------
>
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>
>     -- 
>     Douglas N. Greve, Ph.D.
>     MGH-NMR Center
>     gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>
>     Phone Number: 617-724-2358 Fax: 617-726-7422
>
>     Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
>     <http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting>
>     FileDrop: www.nmr.mgh.harvard.edu/facility/filedrop/index.html
>     <http://www.nmr.mgh.harvard.edu/facility/filedrop/index.html>
>
>

-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358 
Fax: 617-726-7422

Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
FileDrop: www.nmr.mgh.harvard.edu/facility/filedrop/index.html

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