We show the quasi-diffusion model describes the dMRI signal from low b-value (stretched exponential) to high b-value (power law) regimes via a single, parsimonious function of two independent parameters. We identify new tissue contrast via a signal inflection point indicating the transition to the localisation regime. Quasi-Diffusion Imaging (QDI) parameter estimates converge to stable values as maximum b-value is increased, suggesting quasi-diffusion is a valid model for brain tissue dMRI signal decay. Accuracy of QDI parameters computed from 4 b-values of a 12 b-value acquisition indicate QDI measures may be derived from data acquired in clinically feasible times.
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Barrick et al. (2024) studied this question.
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