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Abstract #3280

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.

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