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Abstract #3621

Automated Fat and Muscle Quantification in the Thigh and Calf

Bryan T Addeman 1 , Robert A Hegele 2 , Houchun H Hu 3 , and Charles A McKenzie 1,2

1 Medical Biophysics, Western University, London, Ontario, Canada, 2 The Robarts Research Institute, London, Ontario, Canada, 3 Department of Radiology, Childrens Hospital Los Angeles, Los Angeles, California, United States

Measurement of muscle volume and fat distribution in the extremities is clinically important for the study of degenerative muscle diseases and aging. We aimed to extend, and validate a previously introduced abdominal adipose segmentation tool for use in the extremities. Using automatic segmentation of water and fat images, the volumes of subcutaneous adipose tissue, inter-muscular adipose tissue, and muscle were validated against manual segmentation. Excellent agreement between manual and automated methods was found, with automated segmentation being 80x faster. The automated tool is suitable for use in the extremities enabling rapid segmentation of complete tissue volumes rather than single-slices.

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