  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.
