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-Sajja^1,4

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

Synopsis

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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