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Abstract #4073

Comparison of Single- and Dual-R2* Relaxivity and Estimation of Fat Fraction Using Steatosis Modeling and 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


MRI multi-spectral fat-water models assuming single or independent R2* for fat (R2*F) and water (R2*F) are non-invasive fat fraction (FF) quantification techniques, but there is no consensus on which is more accurate. Monte Carlo simulations allowed correlation of single R2*, R2*F, and R2*W with FF and assessment of the R2* models. MRI signal was synthesized by creating a virtual hepatic steatosis model from extracted characteristics of fat droplets (FD) obtained using histology. R2*W and single R2* were within the confidence bound of the in-vivo calibration and both R2* models predicted FF with high accuracy which confirms the suitability of Monte-Carlo model to mimic steatosis condition.

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