Abstract #2264

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

Changqing Wang^1,2,3, Benjamin Andrew Ratliff^3,4, Claude B. Sirlin⁵, Scott B. Reeder^3,4,6,7,8, and Diego Hernando^3,6

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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