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Feasibility of an automated tissue segmentation technique in a longitudinal weight loss study
Department of Radiology, University of California, San Diego, San Diego, CA, United states.
Department of Radiology, University of California, San Diego, San Diego, CA, United States.
Department of Radiology, University of California, San Diego, San Diego, CA, United States.
Department of Radiology, University of California, San Diego, San Diego, CA, United States.
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2016 (English)Conference paper, Poster (Other academic)
Abstract [en]

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.

Place, publisher, year, edition, pages
2016.
National Category
Radiology, Nuclear Medicine and Medical Imaging Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-128990OAI: oai:DiVA.org:liu-128990DiVA: diva2:934020
Conference
International Society for Magnetic Resonance in Medicine Annual Meeting & Exhibition, Singapore, May 7-13, 2016
Available from: 2016-06-07 Created: 2016-06-07 Last updated: 2016-06-22Bibliographically approved

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Borga, MagnusDahlqvist Leinhard, OlofRomu, Thobias
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Medical InformaticsFaculty of Science & EngineeringCenter for Medical Image Science and Visualization (CMIV)Division of Radiological SciencesFaculty of Medicine and Health SciencesDepartment of Radiation Physics
Radiology, Nuclear Medicine and Medical ImagingMedical Image Processing

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Total: 19 hits
ReferencesLink to record
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