A case analysis of the impact of prior center of gravity estimation over skull-stripping algorithms in MR images


In this work, we propose a novel approach for improving center of gravity (COG) estimation of the brain in magnetic resonance (MR) images, that uses 3D Haar-like features. We hypothesize that better pose estimation will advance the posterior skull-stripping results of the popular Brain Extraction Tool (BET). The proposed methodology is quantitatively… (More)
DOI: 10.1109/ICIP.2013.6738139


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