Abstract #1467

Liver Biopsy Analysis to Determine Fat Droplet Distribution

Benjamin Andrew Ratliff^1,2, Diego Hernando^2,3, Curtis Wiens², Changqing Wang^2,4,5, Rao Watson⁶, Rashmi Agni⁶, Claude B Sirlin⁷, and Scott B Reeder^1,2,3,8,9

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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