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A ranking of diffusion MRI compartment models with in vivo human brain data

Ferizi, U; Schneider, T; Panagiotaki, E; Nedjati-Gilani, G; Zhang, H; Wheeler-Kingshott, CA; Alexander, DC; (2013) A ranking of diffusion MRI compartment models with in vivo human brain data. Magn Reson Med , 72 (6) pp. 1785-1792. 10.1002/mrm.25080. Green open access

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Abstract

Diffusion magnetic resonance imaging (MRI) microstructure imaging provides a unique noninvasive probe into tissue microstructure. The technique relies on biophysically motivated mathematical models, relating microscopic tissue features to the magnetic resonance (MR) signal. This work aims to determine which compartment models of diffusion MRI are best at describing measurements from in vivo human brain white matter.

Type: Article
Title: A ranking of diffusion MRI compartment models with in vivo human brain data
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/mrm.25080
Publisher version: http://dx.doi.org/10.1002/mrm.25080
Language: English
Additional information: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: brain imaging, diffusion magnetic resonance imaging, microstructure imaging, white matter
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation
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-pp.ucl.ac.uk/id/eprint/1416851
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