A comparison of intravoxel incoherent motion (IVIM) fitting models in the liver

The best model for fitting the IVIM signal is still unknown. Previous studies have used several different models and achieved different results. This study compared three models: full, segmented, and Bayesian, in terms of parameter value and repeatability in normal liver parenchyma. For pseudodiffusion, all three models significantly differed with each other. The Bayesian model resulted in the highest pseudodiffusion, followed by the full model and then the segmented model. Repeatability was comparable for the full and segmented models. The Bayesian model had worse repeatability for fractional perfusion and pseudodiffusion, despite less noisy parametric maps.

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