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Abstract #4112

Comparison of Different Fitting Algorithms for Analysis of High b-value Prostate Diffusion Imaging

Yousef Mazaheri 1 , Andreas M Hoetker 2 , Yonggang Lu 3 , Amita Shukla-Dave 3 , Oguz Akin 4 , and Hedvig Hricak 4

1 Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, United States, 2 Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY, United States, 3 Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, United States, 4 Radiology, Memorial Sloan-Kettering Cancer Center, New York, United States

The aim of this work was to compare the non linear least squares (NLLS) algorithm to the maximum likelihood (ML) algorithm for fitting diffusion decay curves to extract parameters to the measured MR signal intensities as a function of b-value for bi-exponential, stretched exponential, and non-Gaussian (Kurtosis) models.

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