Slator, PJ;
Palombo, M;
Miller, KL;
Westin, C-F;
Laun, F;
Kim, D;
Haldar, JP;
... Hutter, J; + view all
(2021)
Combined diffusion-relaxometry microstructure imaging: Current status and future prospects.
Magnetic Resonance in Medicine
10.1002/mrm.28963.
(In press).
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Abstract
Microstructure imaging seeks to noninvasively measure and map microscopic tissue features by pairing mathematical modeling with tailored MRI protocols. This article reviews an emerging paradigm that has the potential to provide a more detailed assessment of tissue microstructure—combined diffusion-relaxometry imaging. Combined diffusion-relaxometry acquisitions vary multiple MR contrast encodings—such as b-value, gradient direction, inversion time, and echo time—in a multidimensional acquisition space. When paired with suitable analysis techniques, this enables quantification of correlations and coupling between multiple MR parameters—such as diffusivity, T_{1}, T_{2}, and T_{3}*. This opens the possibility of disentangling multiple tissue compartments (within voxels) that are indistinguishable with single-contrast scans, enabling a new generation of microstructural maps with improved biological sensitivity and specificity.
Type: | Article |
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Title: | Combined diffusion-relaxometry microstructure imaging: Current status and future prospects |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1002/mrm.28963 |
Publisher version: | https://doi.org/10.1002/mrm.28963 |
Language: | English |
Additional information: | © 2021 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | diffusion, multidimensional MRI, quantitative MRI, relaxometry |
UCL classification: | UCL 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/10133404 |




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