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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