Meeting Banner
Abstract #2706

Artificial Observer and Cost Function for Image Registration, MARLINA: Mean Absolute Regional LINear correlation Algorithm

Roman Fleysher1, Lazar Fleysher2, Asif Suri1, Molly Zimmerman3, Mark Jenkinson4, Craig A Branch1, and Michael L Lipton1

1Department of Radiology, Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, United States, 2Department of Radiology, Mount Sinai School of Medicine, New York, NY, United States, 3Department of Psychology, Fordham University, Bronx, NY, United States, 4Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, University of Oxford, Oxford, United Kingdom

Upon visual inspection of intra-subject rigid body registrations in large studies, we have observed higher than desired rate of unsatisfactory alignments. To address misregistartions, we designed a battery of 13 candidate transformations, one of which was selected as best during visual inspection. Tediousness of the inspections stimulated development of artificial observer to aid and subsequently to replace the human inspector. Here, we describe artificial observer MARLINA, characterize its ability to identify the best rigid body transformation as compared to human inspectors and propose it as a future cost function.

This abstract and the presentation materials are available to members only; a login is required.

Join Here