Abstract #5193

Noise Properties of Proton Density Fat Fraction Estimated using Chemical Shift Encoded MRI

Nathan T Roberts^1,2, Diego Hernando^1,3, James H Holmes¹, Curtis N Wiens¹, 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

The purpose of this work was to characterize the noise distribution of proton density fat fraction estimation and provide alternatives to averaging for unbiased estimation. Monte-Carlo simulations and phantom experiments were used to validate the theoretically derived noise distribution. Results demonstrated that at low SNR, median and Nelder-Mead fitting algorithm estimators have reduced bias compared to the mean estimator.

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