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Abstract #1467

Liver Biopsy Analysis to Determine Fat Droplet Distribution

Benjamin Andrew Ratliff1,2, Diego Hernando2,3, Curtis Wiens2, Changqing Wang2,4,5, Rao Watson6, Rashmi Agni6, Claude B Sirlin7, and Scott B Reeder1,2,3,8,9

1Biomedical Engineering, University of Wisconsin, Madison, Madison, WI, United States, 2Radiology, University of Wisconsin, Madison, Madison, WI, United States, 3Medical Physics, University of Wisconsin, Madison, Madison, United States, 4School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, People's Republic of China, 5School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, People's Republic of China, 6Pathology, University of Wisconsin, Madison, Madison, United States, 7Radiology, University of California, San Diego, San Diego, United States, 8Medicine, University of Wisconsin, Madison, Madison, United States, 9Emergency Medicine, University of Wisconsin, Madison, Madison, United States

The purpose of this work was to quantify the size and clustering of fat droplets using liver biopsy, as part of a long-term effort to characterize the relationship between tissue microstructure and quantitative MRI signals in fat-containing tissue. Three H&E stained liver core biopsies with varying fat-fractions were analyzed using segmentation software in order to generate probability density functions for fat droplet size and location. This work demonstrates that fat droplet distribution in the liver can be modeled statistically to determine the size and location distribution of fat droplets, potentially enabling characterization of the MR signal observed from fatty liver.

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