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Abstract #1009

Multi-Center Phantom Validation of a Novel Method for Temperature Correction in PDFF Estimation using Magnitude Chemical Shift-Encoded MRI

Ruvini Navaratna1,2, Timothy J Colgan1, Ruiyang Zhao1,2, Houchun Harry Hu3, Mark Bydder4, Takeshi Yokoo5, Mustafa R Bashir6,7,8, Michael S Middleton9, Suraj D Serai10, Daria Malyarenko11, Thomas Chenevert11, Mark Smith3, Walter Henderson9, Gavin Hamilton9, Yunhong Shu12, Claude B Sirlin9, Jean A Tkach13, Andrew T Trout13, Jean H Brittain14, Diego Hernando1,2, and Scott B Reeder1,2,15,16,17
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 3Radiology, Nationwide Children's Hospital, Columbus, OH, United States, 4Radiological Sciences, University of California - Los Angeles, Los Angeles, CA, United States, 5Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 6Radiology, Duke University Medical Center, Durham, NC, United States, 7Division of Gastroenterology, Duke University Medical Center, Durham, NC, United States, 8Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC, United States, 9Radiology, University of California - San Diego, San Diego, CA, United States, 10Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 11Radiology, University of Michigan, Ann Arbor, MI, United States, 12Radiology, Mayo Clinic, Rochester, MN, United States, 13Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 14Calimetrix, LLC, Madison, WI, United States, 15Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 16Medicine, University of Wisconsin-Madison, Madison, WI, United States, 17Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

Chemical shift-encoded MRI (CSE-MRI) is well-established to quantify proton density fat-fraction (PDFF) as a quantitative biomarker of hepatic steatosis.1 However, temperature is known to affect the accuracy and precision of PDFF quantification.2 In this study­­­, we aim to characterize the effects of temperature on PDFF quantification using computer simulations, temperature-controlled phantom experiments, and a multi-center phantom study. Further, we present a novel method to minimize temperature-related fat quantification bias for magnitude-based CSE-MRI methods.

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