Abstract #3871

Feasibility of an automated tissue segmentation technique in a longitudinal weight loss study

William M Haufe¹, Jonathan Charles Hooker¹, Alexandra N Schlein¹, Nikolaus Szeverenyi¹, Magnus Borga², Olof Dahlqvist Leinhard², Thobias Romu², Patrik Tunon², Santiago Horgan³, Garth Jacobsen³, Jeffrey B Schwimmer⁴, Scott B Reeder⁵, and Claude B Sirlin¹

¹Radiology, UCSD, San Diego, CA, United States, ²AMRA, Linkoping, Sweden, ³Surgery, UCSD, San Diego, CA, United States, ⁴UCSD, San Diego, CA, United States, ⁵University of Wisconsin, Madison, Madison, WI, United States

To address the problems inherent in manual methods, a novel, semi-automated tissue segmentation image analysis technique has been developed. The purpose of this study was to demonstrate the feasibility and describe preliminary observations of applying this technique to quantify and monitor longitudinal changes in abdominal adipose tissue and thigh muscle volume in obese adults during weight loss. Abdominal adipose tissue and thigh muscle volume decreased during weight loss. As a proportion of body weight, adipose tissue volumes decreased during weight loss. By comparison, as a proportion of body weight, thigh muscle volume increased.

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