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NMR Biomed. 2018 Oct 15:e3998. doi: 10.1002/nbm.3998. [Epub ahead of print]

Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation.

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Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY.
CFIN/MINDLab, Department of Clinical Medicine and Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark.
Medical Physics, Department of Radiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany.


We review, systematize and discuss models of diffusion in neuronal tissue, by putting them into an overarching physical context of coarse-graining over an increasing diffusion length scale. From this perspective, we view research on quantifying brain microstructure as occurring along three major avenues. The first avenue focusses on transient, or time-dependent, effects in diffusion. These effects signify the gradual coarse-graining of tissue structure, which occurs qualitatively differently in different brain tissue compartments. We show that transient effects contain information about the relevant length scales for neuronal tissue, such as the packing correlation length for neuronal fibers, as well as the degree of structural disorder along the neurites. The second avenue corresponds to the long-time limit, when the observed signal can be approximated as a sum of multiple nonexchanging anisotropic Gaussian components. Here, the challenge lies in parameter estimation and in resolving its hidden degeneracies. The third avenue employs multiple diffusion encoding techniques, able to access information not contained in the conventional diffusion propagator. We conclude with our outlook on future directions that could open exciting possibilities for designing quantitative markers of tissue physiology and pathology, based on methods of studying mesoscopic transport in disordered systems.


MRI; brain; coarse-graining; diffusion; mesoscopic transport; microstructure


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