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Abstract #3598

Evaluation of Sensitivity of Fat Fraction Measurement to Fat Spectral Model Precalibration

Xiaoke Wang 1 , Diego Hernando 2 , and Scott B Reeder 2,3

1 Biomedical Engineering, University of Wisconsin, Madison, WI, United States, 2 Radiology, University of Wisconsin, Madison, Wisconsin, United States, 3 Medical Physics, University of Wisconsin, Madison, Wisconsin, United States

In chemical shift encoded (CSE) fat water imaging, it has been shown that multi-peak spectral modeling of fat, compared with single peak models of fat, is necessary for accurate fat quantification. Different spectral models of fat (triglycerides) in the liver has been reported, and it is unknown how these differences will impact the technical accuracy and reproducibility of fat quantification. This work is evaluates the sensitivity of chemical shift encoded fat quantification to different spectral models of fat. Our results show that the use of spectral modeling of fat is needed for accurate CSE fat quantification. However, the specific choice of spectral model (among recently proposed choices) has a much smaller impact on fat quantification accuracy.

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