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Abstract #3849

Stereological Modeling of Hepatic Steatosis and Estimating Independent R2* for Water and Fat using Monte Carlo Simulations

Utsav Shrestha1, Marie Van Der Merwe2, Nirman Kumar3, Eddie Jacobs4, Sanjaya Satapathy5, Cara Morin6, and Aaryani Tipirneni-Sajja1,6
1Biomedical Engineering, The University of Memphis, Memphis, TN, United States, 2College of Health Sciences, The University of Memphis, Memphis, TN, United States, 3Computer Science, The University of Memphis, Memphis, TN, United States, 4Electrical & Computer Engineering, The University of Memphis, Memphis, TN, United States, 5North Shore University Hospital/Northwell Health, Manhasset, NY, United States, 6St. Jude Children’s Research Hospital, Memphis, TN, United States

Multi-spectral fat-water models assume either single or independent R2* for water (R2*W) and fat (R2*F) for assessment of steatosis. However, any incorrect assumptions in the signal model will produce errors in R2* and fat fraction (FF) calculations. In this study, we developed a Monte Carlo–based approach for generating steatosis models by characterizing fat morphology from histology and synthesizing MRI signal to estimate independent R2*W and R2*F and compare with in-vivo studies. Our results show that R2*W and R2*F are slightly different at low FFs and both demonstrate a positive correlation with FF with slopes of R2*W-FF similar to in-vivo calibrations.

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