Characterization of diffusion complexity in prostate tissue with a stretched biexponential model

This study explores a development of the conventional biexponential model by adding a stretching factor to the lower diffusivity component. The superior Akaike information content and leave-one-out prediction performance of the stretched over the conventional model at short diffusion time is consistent with the presence of a diversity of diffusion environments experienced by the slow component of the models.

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