Voxel-wise analyses of DTI, fMRI or any other MRI-derived metric, be it for comparing groups or one patient to a control group, require quality registration of images to a template. One or several poorly registered images may skew the distributions of the metric in several voxels leading to incorrect inferences. We propose an approach to screen poorly registered images prior to voxel-wise analysis by comparing subject-wise mean displacements of anatomical landmarks between morphed images and the template estimated using FreeSurfer. We apply this proposed algorithm to demonstrate morph accuracy characterization using two age extreme (18 and 86 year old) templates.
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