MR fat segmentation and quantification for abdominal volumetric and composition analysis

Darryl H. Hwang; Passant Mohamed; Vinay A. Duddalwar; Suzanne L. Palmer

doi:10.1117/12.2513713

21 December 2018 MR fat segmentation and quantification for abdominal volumetric and composition analysis

Darryl H. Hwang, Passant Mohamed, Vinay A. Duddalwar, Suzanne L. Palmer

Proceedings Volume 10975, 14th International Symposium on Medical Information Processing and Analysis; 109750J (2018) https://doi.org/10.1117/12.2513713
Event: 14th International Symposium on Medical Information Processing and Analysis, 2018, Mazatlán, Mexico

Abstract

Fat deposition in the human body can be imaged using MR. MR fat imaging is used in studies ranging from examining body habitus to evaluating organ composition. A detailed method of segmenting and quantifying fat by post-processing MR image volumes using Synapse 3D and custom Matlab softwares is presented.

Citation Download Citation

Darryl H. Hwang, Passant Mohamed, Vinay A. Duddalwar, and Suzanne L. Palmer "MR fat segmentation and quantification for abdominal volumetric and composition analysis", Proc. SPIE 10975, 14th International Symposium on Medical Information Processing and Analysis, 109750J (21 December 2018); https://doi.org/10.1117/12.2513713

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