I mean anatomical.nii.gz with the same spatial features of the masks.
Stefano
----Messaggio originale----
Da: stdp82@virgilio.it
Data: 4-set-2013 23.02
A: <greve@nmr.mgh.harvard.edu>, <freesurfer@nmr.mgh.harvard.edu>
Ogg: [Freesurfer] R: Re: Mask from cortical parcellation
Thank you very much.
A last help, please. How is the anatomical file that I can use to overlay the masks. I'm noting that masks are characterized by:
data_type INT32
dim1 256
dim2 256
dim3 256
dim4 1
datatype 8
pixdim1 1.0000000000
pixdim2 1.0000000000
pixdim3 1.0000000000
pixdim4 0.0109999999
cal_max 0.0000
cal_min 0.0000
file_type NIFTI-1+
Regards,
Stefano
----Messaggio originale----
Da: greve@nmr.mgh.harvard.edu
Data: 4-set-2013 17.10
A: <freesurfer@nmr.mgh.harvard.edu>
Ogg: Re: [Freesurfer] Mask from cortical parcellation
you can use mri_binarize on aparc+aseg, eg, something like
mri_binarize --i aparc+aseg.mgz --match 1003 1012 1014 1032 --o
frontal.nii.gz
those numbers come from $FREESURFER_HOME/FreeSurferColorLUT.txt
That table has a lot of ROIs in it, and not all will be in the
aparc+aseg. You'll be interested in the ones between 1000-1035 and 2000-2035
doug
On 09/04/2013 08:46 AM, stdp82@virgilio.it wrote:
> Hi list,
>
> I need to create a mask of frontal, parietal, temporal and occipital
> lobes in a subject by using cortical parcellation output.
>
> Is it possible? Eventually, how can I transform these masks file to
> mii.gz (to import them in FSL analysis).
>
> Thank you very much.
>
> Regards,
>
>
> Stefano
>
>
>
>
>
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--
Douglas N. Greve, Ph.D.
MGH-NMR Center
greve@nmr.mgh.harvard.edu
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