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Abstract #4684

Characterization Of Registration Errors To Screen Aberrant Subject Results Prior To Voxel-Wise Whole Brain Analysis

Roman Fleysher1,2, Namhee Kim1,2, Asif Suri1,2, Michael L Lipton1,2, and Craig A Branch1,2

1Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Bronx, NY, United States, 2Radiology, Albert Einstein College of Medicine, Bronx, NY, United States

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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