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Abstract #4072

Simulation of a Virtual Liver Iron-overload Model and Estimation of R2* Using Complex Fat-Water Models

Prasiddhi Neupane1, Utsav Shrestha1, and Aaryani Tipirneni-Sajja1
1Biomedical Engineering, The University of Memphis, Memphis, TN, United States


Multi-spectral fat-water-R2* modeling techniques fit either a single R2* or estimate independent R2* for water and fat molecules. In this study, a virtual liver model with hepatic iron overload was created based on true histological data and MRI signals were synthesized using Monte Carlo simulations. Our results demonstrate that the dual R2* values predicted by the ARMA model exhibit relaxivity behavior similar to in vivo and thus can be used for R2* estimation in vivo in varying concentrations of iron overload.

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