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Abstract #4070

Combined Effect of Iron Overload and Steatosis on Liver R2* Using Morphological Modeling and MRI Signal Synthesis via Monte Carlo Simulations

Utsav Shrestha1, Juan Pablo Esparza1, Sanjaya Satapathy2, Jason Vanatta3, and Aaryani Tipirneni-Sajja1,4
1Biomedical Engineering, The University of Memphis, Memphis, TN, United States, 2Department of Medicine, North Shore University Hospital/Northwell Health, Manhasset, NY, United States, 3College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States, 4St. Jude Children’s Research Hospital, Memphis, TN, United States


Chemical-shift based multi-spectral fat-water models accounting for single or dual R2* correction are used to assess hepatic iron concentration (HIC) and fat fraction (FF). In this study, we developed a Monte-Carlo based approach for simulating steatosis and iron overload models mimicking the in-vivo characteristics and synthesizing MRI signal to compare the accuracy of the R2* models to estimate FF in the presence of iron. Our results show that R2* estimated by single R2* model is highly governed by iron whereas dual R2* model predicts R2*-FF relationship close to the in-vivo calibration. Nevertheless, FF predicted by both the models were close to the true FF.

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