Anand Arvind Joshi1, H Harry Hu2,
Michael Goran3, Richard Leahy2, Arthur Toga1,
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.
Keywords