Recovering almost everything diffusion could reveal

TL;DR

This paper introduces a new diffusion encoding and analysis framework that enables full recovery of the diffusion propagator, providing comprehensive insights into particle displacements in diffusion magnetic resonance.

Contribution

A novel diffusion encoding and data analysis method that allows complete reconstruction of the diffusion propagator in magnetic resonance imaging.

Findings

Successfully recovers the diffusion propagator

Enables detailed analysis of particle displacement distributions

Advances the capabilities of diffusion MRI techniques

Abstract

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.