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 Zhao^1,2, Diego Hernando^1,2, David T Harris¹, Louis Hinshaw³, Ke Li^1,2, Jessica Miller⁴, Perry J Pickhardt¹, Ihab R Kamel⁵, Mahadevappa Mahesh⁵, Mounes Aliyari Ghasabeh⁵, Mustafa R Bashir^6,7,8, Jean Shaffer^6,7, Carolyn Lowry⁶, Daniele Marin⁶, Takeshi Yokoo⁹, Lakshmi Ananthakrishnan⁹, Xinhui Duan⁹, and Scott B Reeder^1,2,3,10,11

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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