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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