Hello freesurfer team I have binary lesions mask from T2star images (resolution 0.3*0.3*1) already registered on freesurfer space that I would like to resample on diffusion images (that have been processed with tracula) to further exclude the lesion voxels on the DTI maps. To do so I have found several possibilities on the mailing list but I am not sure about which one is appropriate. I have tried: mri_convert but I am not sure about which resampling method to use. The nearest voxel miss quite a few lesions. I have also seen the command mri_vol2vol: mri_vol2vol --mov /subject/dmri/lowb.nii.gz --targ lesion_mask.nii.gz --inv --interp nearest --o lesion_mask_resampled.nii.gz --reg /dmri/xfms/? --no-save-reg I don't know what registration file to use in that case?
I have also seen mri_label2vol command where I could set the fill threshold parameter but I am not sure again about the registration file to use. And eventually I also saw this command: mri_mask but I guess that the mask volume needs to be in the same dimension than the diffusion space? Thanks a lot in advance for your help Best Celine _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
