Improved efficiency for microstructure imaging using high-dimensional MR correlation spectroscopic imaging
Magnetic Resonance Correlation Spectroscopic Imaging (MR-CSI) is a high-dimensional imaging approach that our group recently introduced for studying microstructure. MR-CSI uses imaging data that is simultaneously encoded with multiple MR contrast mechanisms, and applies a spatial-spectral reconstruction framework to estimate a spectroscopic image with a high-dimensional correlation spectrum for every spatial location. While MR-CSI enables powerful new capabilities for spatially mapping sub-voxel microstructural compartments, the contrast encoding can be slow due to the curse of dimensionality. This paper reviews MR-CSI and investigates a principled estimation theoretic approach that can enable more efficient experiment designs.