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Hi Yujing, thank you for your help! But I think, this is only the affine registration? Is it possible that I can use the same transformation, by which e.g. aseg.mgz-atlas is transformed into the native space of a given subject? The volume-dataset of the subcortical regions matches quite well with the subcortical structure of each subject, but I think that this can't be achieved by an affine transformation only.
Best regards, Peter
On Fri, Nov 17, 2023 at 3:57 PM Huang, Yujing YHUANG43@mgh.harvard.edu wrote:
Hi Peter,
Here is an example to convert from native space to MNI305 (fsaverage) in https://secure-web.cisco.com/1ReBfmWJausgcUfY96AjUCIcfqx5PX2Bs775KpxZcv9gOmT...
mri_vol2vol --mov orig.mgz --targ $FREESURFER_HOME/average/mni305.cor.mgz --xfm transforms/talairach.xfm --o orig-in-mni305.mgzIn your case, I think you also need ‘—interp nearest’ to convert segmentation.
To convert from fsaverage to native space of a subject, can you try the following? I used bert as an example.
mri_vol2vol --mov bert/mri/orig.mgz --targ fsaverage/mri/aseg.mgz --xfm transforms/talairach.xfm --inv --o aseg-from-mni305.mgz --interp nearestBest,
Yujing
*From:* freesurfer-bounces@nmr.mgh.harvard.edu < freesurfer-bounces@nmr.mgh.harvard.edu> *On Behalf Of *P Pieperhoff *Sent:* Thursday, November 16, 2023 12:07 PM *To:* Freesurfer support list freesurfer@nmr.mgh.harvard.edu *Subject:* [Freesurfer] Transformation of volume images
External Email - Use Caution *Dear developers,
please, may I ask you how I can transform volume images (containing discrete region labels) from the fsaverage space into the space of a given subject, and vice-versa?
I tried the following command:
mri_vol2vol --interp nearest --mov fsaverage/mri/aseg.mgz --o test_mask.mgz --s test001 --targ test001/mri/orig.mg http://secure-web.cisco.com/18zhLs0yyoi6f5anIfeKiN-F1VEbpNHEjEygu8DCPePRRMe1a3jx4QEHAQ7kD_9NgtssMozXqNUTsjOs3jetomLFaKKS-TYrPODLjsmg6Jmvr-aDKJqlzzUUe-jWpXBt3EFFRhzHq-Tc1ygK4OuWuBUFXy3BgX798ZqnJB9ANvNFzdNLeovYy2s85mZfEvst-LB_nhkwwcYuCNbr1yBBmQu84PEvvUWVyYyUimGmdsWn1SuLZnAY76EMn_fL_M4OkhiBDqR30lKic7hwf72E2bNtoJVIoesBrzh8yguobZBnBN9gxTN0r-Umzvr7yFHFp/http%3A%2F%2Forig.mg
or
mri_vol2vol --interp nearest --mov fsaverage/mri/aseg.mgz --o test_mask.mgz --targ test001/mri/T1.mgz --lta test001/mri/transforms/talairach.lta --m3z talairach.m3z --s test001
but there was always a large mismatch between the transformed images and the target image.
Best regards,
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