Characterization of Brown Adipose Tissue using Multi-Varying-Peak MR Spectroscopy (MVP-MRS)
Gregory Simchick1, Jinjian Wu2, Guangming Shi2, Hang Yin3, and Qun Zhao1
1Bioimaging Research Center, University of Georgia, Athens, GA, United States, 2Xidian University, Xian, China, People's Republic of, 3Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, United States
Differentiation of brown adipose tissue (BAT) from white adipose tissue (WAT) using magnetic
resonance imaging (MRI) is clinically important to treat obesity, diabetes and
heart disease. In contrast to the traditional Dixon model of single fat- and water-peak or fixed multi-fat-peak models, we propose a Multi-Varying-Peaks MR Spectroscopic
(MVP-MRS) model, based on MR imaging data acquired with multiple echoes, to better
characterize chemical structures of the fatty acid (saturated vs. unsaturated).
Compared with traditional classification of BAT and WAT using fat fraction or
proton relaxation time, the proposed
MVP-MRS model can achieve a correct classification rate of 95% between BAT and WAT for in vivo mouse data implying great potentials in future longitudinal imaging of BAT and WAT.
This abstract and the presentation materials are available to members only;
a login is required.
