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Abstract #0413

Evaluation of Low-Field MRI for R2* and Fat Fraction Quantification in the Concomitant Presence of Hepatic Iron Overload and Steatosis

Utsav Shrestha1,2, Mark Bolding3, Zachary Abramson2, and Aaryani Tipirneni-Sajja1,2,4
1University of Memphis, Memphis, TN, United States, 2St. Jude Children's Research Hospital, Memphis, TN, United States, 3University of Alabama at Birmingham, Birmingham, AL, United States, 4University of Houston, Houston, TX, United States

Synopsis

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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Keywords