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Imaging brain microstructure with diffusion MRI: practicality and applications

Alexander, DC; Dyrby, TB; Nilsson, M; Zhang, H; (2017) Imaging brain microstructure with diffusion MRI: practicality and applications. NMR Biomedicine , Article e3841. 10.1002/nbm.3841. (In press). Green open access

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Abstract

This article gives an overview of microstructure imaging of the brain with diffusion MRI and reviews the state of the art. The microstructure-imaging paradigm aims to estimate and map microscopic properties of tissue using a model that links these properties to the voxel scale MR signal. Imaging techniques of this type are just starting to make the transition from the technical research domain to wide application in biomedical studies. We focus here on the practicalities of both implementing such techniques and using them in applications. Specifically, the article summarizes the relevant aspects of brain microanatomy and the range of diffusion-weighted MR measurements that provide sensitivity to them. It then reviews the evolution of mathematical and computational models that relate the diffusion MR signal to brain tissue microstructure, as well as the expanding areas of application. Next we focus on practicalities of designing a working microstructure imaging technique: model selection, experiment design, parameter estimation, validation, and the pipeline of development of this class of technique. The article concludes with some future perspectives on opportunities in this topic and expectations on how the field will evolve in the short-to-medium term.

Type: Article
Title: Imaging brain microstructure with diffusion MRI: practicality and applications
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/nbm.3841
Publisher version: https://onlinelibrary.wiley.com/doi/10.1002/nbm.38...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Brain, diffusion MRI, magnetic resonance imaging, microstructure imaging, neuroimaging, quantitative imaging, virtual histology
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10043077
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