A Statistically Stationary Anomalous Diffusion Model for Diffusion Weighted Imaging

A statistically stationary anomalous diffusion model has been proposed in this study. It offers a theoretical foundation to stretched exponential diffusion model. Its validity was proved through numerical simulation as well as in-vivo datasets. This model may aid further understanding of the anomalous diffusion process in neural tissues.

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