Abstract #1009

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

Ruvini Navaratna^1,2, Timothy J Colgan¹, Ruiyang Zhao^1,2, Houchun Harry Hu³, Mark Bydder⁴, Takeshi Yokoo⁵, Mustafa R Bashir^6,7,8, 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 Hernando^1,2, and Scott B Reeder^1,2,15,16,17

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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