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Multiexponential modeling of relaxation or diffusion MR signal decays is apopular approach for estimating and spatially mapping different microstructuraltissue compartments. While this approach can be quite powerful, it is alsolimited by the fact that one-dimensional multiexponential modeling is anill-posed inverse problem with substantial ambiguities. In this paper, wepresent an overview of a recent multidimensional correlation spectroscopicimaging approach to this problem. This approach helps to alleviateill-posedness by leveraging multidimensional contrast encoding (e.g., 2Ddiffusion-relaxation encoding or 2D relaxation-relaxation encoding) combinedwith a regularized spatial-spectral estimation procedure. Theoreticalcalculations, simulations, and experimental results are used to illustrate thebenefits of this approach relative to classical methods. In addition, wedemonstrate an initial proof-of-principle application of this kind of approachto in vivo human MRI experiments.

Multidimensional Correlation Spectroscopic Imaging of Exponential Decays: From Theoretical Principles to In Vivo Human Applications