Literature DB >> 33096152

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

Dmitry S Novikov1.   

Abstract

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.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

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

Mesh:

Year:  2020        PMID: 33096152      PMCID: PMC7987839          DOI: 10.1016/j.jneumeth.2020.108947

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  201 in total

1.  General and variable features of varicosity spacing along unmyelinated axons in the hippocampus and cerebellum.

Authors:  Gordon M G Shepherd; Morten Raastad; Per Andersen
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-23       Impact factor: 11.205

2.  Separating changes in the intra- and extracellular water apparent diffusion coefficient following focal cerebral ischemia in the rat brain.

Authors:  Matthew D Silva; Tsuyoshi Omae; Karl G Helmer; Fuhai Li; Marc Fisher; Christopher H Sotak
Journal:  Magn Reson Med       Date:  2002-11       Impact factor: 4.668

3.  The importance of axonal undulation in diffusion MR measurements: a Monte Carlo simulation study.

Authors:  Markus Nilsson; Jimmy Lätt; Freddy Ståhlberg; Danielle van Westen; Håkan Hagslätt
Journal:  NMR Biomed       Date:  2011-10-21       Impact factor: 4.044

4.  Magnetic resonance microscopy of human and porcine neurons and cellular processes.

Authors:  Jeremy J Flint; Brian Hansen; Sharon Portnoy; Choong-Heon Lee; Michael A King; Michael Fey; Franck Vincent; Greg J Stanisz; Peter Vestergaard-Poulsen; Stephen J Blackband
Journal:  Neuroimage       Date:  2012-01-14       Impact factor: 6.556

5.  Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution.

Authors:  J-Donald Tournier; Fernando Calamante; David G Gadian; Alan Connelly
Journal:  Neuroimage       Date:  2004-11       Impact factor: 6.556

Review 6.  Transverse NMR relaxation in biological tissues.

Authors:  Valerij G Kiselev; Dmitry S Novikov
Journal:  Neuroimage       Date:  2018-06-07       Impact factor: 6.556

Review 7.  White matter biomarkers from diffusion MRI.

Authors:  Sune Nørhøj Jespersen
Journal:  J Magn Reson       Date:  2018-04-26       Impact factor: 2.229

8.  Cytological and quantitative characteristics of four cerebral commissures in the rhesus monkey.

Authors:  A S Lamantia; P Rakic
Journal:  J Comp Neurol       Date:  1990-01-22       Impact factor: 3.215

9.  Towards unconstrained compartment modeling in white matter using diffusion-relaxation MRI with tensor-valued diffusion encoding.

Authors:  Björn Lampinen; Filip Szczepankiewicz; Johan Mårtensson; Danielle van Westen; Oskar Hansson; Carl-Fredrik Westin; Markus Nilsson
Journal:  Magn Reson Med       Date:  2020-03-06       Impact factor: 4.668

10.  Realistic Microstructure Simulator (RMS): Monte Carlo simulations of diffusion in three-dimensional cell segmentations of microscopy images.

Authors:  Hong-Hsi Lee; Els Fieremans; Dmitry S Novikov
Journal:  J Neurosci Methods       Date:  2020-12-03       Impact factor: 2.390

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  5 in total

Review 1.  Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact.

Authors:  Qiuyun Fan; Cornelius Eichner; Maryam Afzali; Lars Mueller; Chantal M W Tax; Mathias Davids; Mirsad Mahmutovic; Boris Keil; Berkin Bilgic; Kawin Setsompop; Hong-Hsi Lee; Qiyuan Tian; Chiara Maffei; Gabriel Ramos-Llordén; Aapo Nummenmaa; Thomas Witzel; Anastasia Yendiki; Yi-Qiao Song; Chu-Chung Huang; Ching-Po Lin; Nikolaus Weiskopf; Alfred Anwander; Derek K Jones; Bruce R Rosen; Lawrence L Wald; Susie Y Huang
Journal:  Neuroimage       Date:  2022-02-23       Impact factor: 7.400

2.  Macroscopic Structural and Connectome Mapping of the Mouse Brain Using Diffusion Magnetic Resonance Imaging.

Authors:  Tanzil Mahmud Arefin; Choong Heon Lee; Jordon D White; Jiangyang Zhang; Arie Kaffman
Journal:  Bio Protoc       Date:  2021-11-20

3.  Realistic Microstructure Simulator (RMS): Monte Carlo simulations of diffusion in three-dimensional cell segmentations of microscopy images.

Authors:  Hong-Hsi Lee; Els Fieremans; Dmitry S Novikov
Journal:  J Neurosci Methods       Date:  2020-12-03       Impact factor: 2.390

4.  Test-retest reproducibility of in vivo oscillating gradient and microscopic anisotropy diffusion MRI in mice at 9.4 Tesla.

Authors:  Naila Rahman; Kathy Xu; Mohammad Omer; Matthew D Budde; Arthur Brown; Corey A Baron
Journal:  PLoS One       Date:  2021-11-05       Impact factor: 3.240

5.  Diffusion time dependence, power-law scaling, and exchange in gray matter.

Authors:  Jonas L Olesen; Leif Østergaard; Noam Shemesh; Sune N Jespersen
Journal:  Neuroimage       Date:  2022-02-07       Impact factor: 6.556

  5 in total

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