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Abstract #2264

Monte Carlo Modeling of Liver MR Signal in the Presence of Fat

Changqing Wang1,2,3, Benjamin Andrew Ratliff3,4, Claude B. Sirlin5, Scott B. Reeder3,4,6,7,8, and Diego Hernando3,6

1School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China, 2School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China, 3Radiology, University of Wisconsin-Madison, Madison, WI, United States, 4Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 5Radiology, University of California, San Diego, San Diego, CA, United States, 6Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 7Medicine, University of Wisconsin-Madison, Madison, WI, United States, 8Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

Recent studies using chemical shift-encoded MRI in patients with elevated liver fat content, but no iron overload, have shown a positive correlation between proton density fat fraction (PDFF) and R2*. In this work, we investigate the underlying biophysical mechanism of this observation using Monte Carlo simulations. Results from this Monte Carlo study show a positive correlation between PDFF and R2* consistent with previous in vivo observations. Based on the PDFF-R2* relationship, the Monte Carlo simulations may provide a new means to correct for the effect of fat on R2* quantification.

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