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The present and the future of microstructure MRI: From a paradigm shift to normal science

Journal

JOURNAL OF NEUROSCIENCE METHODS
Volume 351, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jneumeth.2020.108947

Keywords

Diffusion; MRI; Brain; Microstructure; Coarse-graining; Effective theory

Funding

  1. National Institute of Neurological Disorders and Stroke (NINDS) of the NIH [R01 NS088040]
  2. National Institute of Biomedical Imaging and Bioengineering (NIBIB) of the NIH [R01 EB027075]
  3. Center for Advanced Imaging Innovation and Research (CAI2R), an NIBIB Biomedical Technology Resource Center [NIH P41 EB017183]

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Utilizing MRI to reveal tissue microstructures holds great potential, although this concept is not entirely new, its applications in neuroscience and neuroradiology are only just beginning to gain widespread attention. Research is focused on coarse-graining tissue structures and utilizing various diffusion models and phenomena to interpret MRI results.
The aspiration of imaging tissue microstructure with MRI is to uncover micrometer-scale tissue features within millimeter-scale imaging voxels, in vivo. This kind of super-resolution has fueled a paradigm shift within the biomedical imaging community. However, what feels like an ongoing revolution in MRI, has been conceptually experienced in physics decades ago; from this point of view, our current developments can be seen as Thomas Kuhn?s ?normal science? stage of progress. While the concept of model-based quantification below the nominal imaging resolution is not new, its possibilities in neuroscience and neuroradiology are only beginning to be widely appreciated. This disconnect calls for communicating the progress of tissue microstructure MR imaging to its potential users. Here, a number of recent research developments are outlined in terms of the overarching concept of coarse-graining the tissue structure over an increasing diffusion length. A variety of diffusion models and phenomena are summarized on the phase diagram of diffusion MRI, with the unresolved problems and future directions corresponding to its unexplored domains.

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