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

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

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 <greve@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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