Keywords: Liver, Low-Field MRI, Relaxometry, Simulations, Phantoms
Motivation: For coexisting hepatic iron overload and steatosis, MRI signal decay increases with field strength, complicating simultaneous R2* and fat fraction (FF) estimation at higher field strengths.
Goal(s): To assess R2* and FF estimation accuracy at 0.55T compared to 1.5T using virtual hepatic iron overload and steatosis models and iron-fat phantoms.
Approach: Creating virtual liver models simulating in vivo hepatic iron overload and steatosis morphology and iron-fat phantoms with varying iron contents and FF, and estimating R2* and FF across different SNRs.
Results: 0.55T shows promising results for concurrent R2* and FF estimation, improving accuracy and precision compared to 1.5T, especially with enhanced SNR.
Impact: Low-field 0.55T MRI is a viable approach to improve the measurable range of R2* and FF estimation compared to 1.5T in coexisting conditions of hepatic iron overload and steatosis.
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