Fully automated adipose tissue measurement on abdominal CT

Jianhua Yao; Daniel L. Sussman; Ronald M. Summers M.D.

doi:10.1117/12.878063

15 March 2011 Fully automated adipose tissue measurement on abdominal CT

Jianhua Yao, Daniel L. Sussman, Ronald M. Summers M.D.

Proceedings Volume 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging; 79651Z (2011) https://doi.org/10.1117/12.878063
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Obesity has become widespread in America and has been associated as a risk factor for many illnesses. Adipose tissue (AT) content, especially visceral AT (VAT), is an important indicator for risks of many disorders, including heart disease and diabetes. Measuring adipose tissue (AT) with traditional means is often unreliable and inaccurate. CT provides a means to measure AT accurately and consistently. We present a fully automated method to segment and measure abdominal AT in CT. Our method integrates image preprocessing which attempts to correct for image artifacts and inhomogeneities. We use fuzzy cmeans to cluster AT regions and active contour models to separate subcutaneous and visceral AT. We tested our method on 50 abdominal CT scans and evaluated the correlations between several measurements.

Citation Download Citation

Jianhua Yao, Daniel L. Sussman, and Ronald M. Summers M.D. "Fully automated adipose tissue measurement on abdominal CT", Proc. SPIE 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging, 79651Z (15 March 2011); https://doi.org/10.1117/12.878063

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