Hi Freesurfers, I am trying to compute DICE scores between 2 WMH-SynthSeg masks from a low-field image and high-field counterpart. I have co-registered the original images and used mri_binarize to isolate the WMH segmentations from other brain structures. I then used reg_resample to transform the binarized masks to the same space using the CPP from the coregistration. However, when I then try to run mri_seg_overlap I am getting an error that ‘error: input volumes must have matching dimensions’.
When I load the binarized masks in freeview, they appear to be in the same space, and the LUT label for both is 1. Is there a way I can force mri_seg_overlap to compute the DICE in this instance/anything else I can do? I have attached 2 examples of the co-registered images for reference. Any advice appreciated! Annabel
001_HF_Mask.nii.gz
Description: 001_HF_Mask.nii.gz
001_LF_Mask.nii.gz
Description: 001_LF_Mask.nii.gz
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