Diffusion magnetic resonance has been employed for determining the distribution of net displacements (ensemble average propagator), moments and correlations of net displacements, and the steady-state distribution of magnetized particles. All such quantities are accessible via the diffusion propagator, which characterizes the diffusion process fully. Here, a novel diffusion encoding and data analysis framework is introduced with which the diffusion propagator can be recovered.
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