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Abstract #2583

A Software Tool for Volume Registration and Atlas-Based Segmentation of Human Fat-Water MRI Data in Longitudinal Studies

Anand Arvind Joshi1, H Harry Hu2, Michael Goran3, Richard Leahy2, Arthur Toga1, Krishna Nayak2

1Department of Neurology, David Geffen School of Medicine, UCLA, Los Angeles, CA, United States; 2Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles; 3Keck School of Medicine, University of Southern California, Los Angeles, CA

Obesity continues to be a worldwide epidemic. Accurate quantification of subcutaneous and visceral adipose tissue depot volumes and the degree fat infiltration in the liver, the pancreas, skeletal muscle, and the kidneys, are important endpoints in determining the efficacy of therapeutic and interventional measures against obesity. For example, in longitudinal studies, measures are taken at multiple time points in each subject to determine the effects of diet, exercise, lifestyle modifications, and surgery, on fat quantity and distribution. In this work, we present an automated atlas-based tool for performing 3D volume registration and segmentation of abdominal adipose tissue depots and organs.