Diffusion-relaxation correlation spectroscopic imaging (DR-CSI) is a novel multidimensional magnetic resonance (MR) imaging approach that we recently introduced for probing microstructure. DR-CSI uses high-dimensional MR data that is acquired with spatial encoding and non-separable diffusion-relaxation contrast encoding, and uses constrained image reconstruction to estimate a spectroscopic image with a multidimensional spectrum for each voxel. The spectral peaks correspond to distinct compartmental microenvironments that coexist within each voxel. This paper reviews DR-CSI and describes and demonstrates its generalization to other contrast mechanisms (i.e., we demonstrate multidimensional relaxation (T1-T2) correlation spectroscopic imaging).
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