Comparison of Results Obtained by Fitting DWI Data to a Model Including IVIM and Kurtosis using Nonlinear Least Squares and Maximum Likelihood Estimation

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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