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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