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Abstract #1008

Multi-Site, Multi-Vendor Validation of the Accuracy and Reproducibility of Fat Quantification using a Novel MRI and CT Compatible Fat Phantom

Ruiyang Zhao1,2, Diego Hernando1,2, David T Harris1, Louis Hinshaw3, Ke Li1,2, Jessica Miller4, Perry J Pickhardt1, Ihab R Kamel5, Mahadevappa Mahesh5, Mounes Aliyari Ghasabeh5, Mustafa R Bashir6,7,8, Jean Shaffer6,7, Carolyn Lowry6, Daniele Marin6, Takeshi Yokoo9, Lakshmi Ananthakrishnan9, Xinhui Duan9, and Scott B Reeder1,2,3,10,11
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 3Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 4Human Oncology, University of Wisconsin-Madison, Madison, WI, United States, 5Radiology, John Hopkins University, Baltimore, MD, United States, 6Radiology, Duke University, Durham, NC, United States, 7Center for Advanced Magnetic Resonance Development, Duke University, Durham, NC, United States, 8Medicine, Duke University, Durham, NC, United States, 9Radiology, University of Texas Southwestern, Dallas, TX, United States, 10Medicine, University of Wisconsin-Madison, Madison, WI, United States, 11Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

Accurate quantification of liver fat content is needed for early detection, staging, and treatment monitoring of non-alcoholic fatty liver disease. Chemical shift encoded MRI techniques enable accurate fat quantification though proton density fat fraction maps. CT is capable of quantifying fat based on the decrease in attenuation with increasing liver fat concentration. Current MR quantitative fat phantoms do not accurately mimic CT-based attenuation in the presence of liver fat. Therefore, the purpose of this work was to develop and validate the performance of a novel multimodality phantom that mimics the signals of liver fat in both MRI and CT.

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