Hi David

what is the annot you are using in mris_label2annot? is it the 
?h.BA.annot?

cheers
Bruce
On Mon, 8 Sep 2014, David Provencher wrote:

> Hi,
>
> I am new to freesurfer and I am trying to figure our how to extract 3d
> masks in native space for the visual cortex (BA 17,18,19) of individual
> subjects. I have looked at other threads similar to this, but there are
> still a few things I can't figure out in generating the masks (the
> conversion to native space should be fine).
>
> 1-  I ran recon-all and I have V1, V2 and MT labels. My knowledge of
> brain anatomy is very limited, but if I understand correctly, this
> equates to BA 17, 18 and V5, so I don't have access to all of B19 (V3,
> V4 and V5), right?
>
> 2- I managed to convert V1, V2 and MT labels to 3d masks using
> mri_label2vol and it seems to work at first glance when I looked at the
> generated file with freeView. However, I read in the mailing list that
> mri_label2vol produces "patchy" volumes and that it is preferable to use
> mri_aparc2aseg instead. That's what I can't figure out. From what I
> understand, mri_aparc2aseg aims to map the surface labels of interest to
> the segmented volumes? I tried doing the following (I altered some file
> names/paths for readability):
>
> # convert labels to annotation (outputs lh.myAnnot.annot &
> rh.myAnnot.annot))
> mris_label2annot --s  <subject> --h lh --l lh.V1.label --l lh.V2.label
> ---l lh.label --ctab BA.ctab --a annot
> mris_label2annot --s  <subject> --h rh --l rh.V1.label --l rhV2.label
> ---l rh.label --ctab BA.ctab --a annot
>
> # convert to volume
> mri_aparc2aseg --s <subject> --annot  myAnnot.annot --o lh.asegTest.mgz
>
> When I look at the asegTest.mgz file in freeView, I only see segmented
> cortical volumes and I can't see anything related to V1, V2 or MT, so I
> assume that I don't use mri_aparc2aseg correctly, but I can't manage to
> make it work.
>
> Any help would be appreciated!
> David
>
>
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>
>
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