Abstract #2584

Effect of Signal to Noise Ratio and Estimator Type on Bias of Hepatic Proton Density Fat Fraction Measurement

Edward M Lawrence¹, Nathan T Roberts^1,2, Diego Hernando^1,3, and Scott B Reeder^1,3,4,5,6

¹Radiology, University of Wisconsin-Madison, Madison, WI, United States, ²Electrical & Computer Engineering, University of Wisconsin-Madison, Madison, WI, United States, ³Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, ⁴Medicine, University of Wisconsin-Madison, Madison, WI, United States, ⁵Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States, ⁶Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States

Proton-density fat-fraction (PDFF) is typically measured by calculating the mean PDFF value within a region of interest (ROI). However, the mean estimator has been shown to result in bias when signal-to-noise ratio (SNR) is low. This work characterizes the accuracy of median and maximum likelihood estimator (MLE) as alternative estimators for the measurement of liver PDFF. Our results demonstrate that at low-SNR, the mean estimator has a larger error than either the median or MLE values obtained from the same ROIs, when compared to the PDFF value obtained from spectroscopy, and had a bias of approximately -1%.

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