Abstract #2911
Comparison of Results Obtained by Fitting DWI Data to a Model Including IVIM and Kurtosis using Nonlinear Least Squares and Maximum Likelihood Estimation
Keith Hulsey 1 , Matthew Lewis 1 , Yin Xi 1 , Qing Yuan 1 , and Robert Lenkinski 1
1
Radiology, The University of Texas
Southwestern Medical Center, Dallas, TX, United States
This study investigates the accuracy and precision of
diffusion parameters derived from fitting MR diffusion
weighted data. A five parameter diffusion model was fit
to simulated data using a non-linear least squares fit
and through maximum likelihood estimators to compare the
results obtained using two fitting methods. The
repeatability of diffusion estimates for data collected
from a phantom which incorporates diffusion and flow was
investigated and compared to the precision of diffusion
values calculated for the simulations.
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