Abstract #2265

Monte Carlo Modeling of Multiple Spin Echo Signals in the Presence of Liver Iron Overload

Changqing Wang^1,2,3, Scott B. Reeder^3,4,5,6,7, and Diego Hernando^3,4

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, ⁴Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, ⁵Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, ⁶Medicine, University of Wisconsin-Madison, Madison, WI, United States, ⁷Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

Multiple spin echo (MSE) imaging may enable improved quantification and characterization of tissue iron deposition, with application for assessment of liver iron overload. However, iron deposition generally results in non-exponential signal decay in MSE imaging, and MSE-based R2 (1/T2) relaxometry can depend on the inter-echo time. Additionally, it is cumbersome and expensive to empirically calibrate the R2 relaxometry-iron concentration relationship. In this work, we investigate the effect of inter-echo time on MSE signal in the presence of liver iron overload using Monte Carlo simulations. This Monte Carlo approach may enable improved calibration of MSE-based measurements of iron concentration.

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