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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