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Abstract #0415

Impact of Iron Particle Size on R2* and Fat Fraction Estimation for Accurate Assessment of Hepatic Iron Overload and Steatosis Using MRI

Utsav Shrestha1,2, Sarah Brasher1, Zachary Abramson2, Cara E Morin3, and Aaryani Tipirneni-Sajja1,2,4
1University of Memphis, Memphis, TN, United States, 2St Jude Children's Research Hospital, Memphis, TN, United States, 3Cincinnati Children’s Hospital, Cincinnati, OH, United States, 4University of Houston, Houston, TX, United States

Synopsis

Keywords: Liver, Relaxometry, Fat Fraction, Iron Particle Size

Motivation: Iron particle sizes can influence microscopic magnetic field heterogeneities, affecting R2* decay.

Goal(s): To investigate the impact of iron particle size on R2* and fat fraction (FF) estimations for coexisting hepatic iron overload and steatosis.

Approach: Impact of iron particle sizes (0.38, 0.52, and 0.71 µm) was analyzed using Monte Carlo simulations and fat-iron phantoms with varying iron content and FF. Three-way ANOVA assessed the impact of iron particle size on R2* and FF estimations.

Results: R2* and FF estimations are affected by iron particle size, with smaller particles causing higher R2* values and increased FF estimation bias.

Impact: In the concomitant presence of fat and iron, the size of iron particles can affect the accuracy of fat fraction and R2* estimations, and hence may cause bias in the assessment of hepatic iron overload and steatosis using MRI.

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Keywords