Slator, P. ORCID: https://orcid.org/0000-0001-6967-989X, Palombo, M. ORCID: https://orcid.org/0000-0003-4892-7967, Miller, K.L., Westin, C-F., Laun, F., Kim, D., Haldar, J.P., Benjamini, D., Lemberskiy, G., de Almeida Martins, J.P. and Hutter, J. 2021. Combined diffusion-relaxometry microstructure imaging: Current status and future prospects. Magnetic Resonance in Medicine 86 (6) , pp. 2987-3011. 10.1002/mrm.28963 |
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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, urn:x-wiley:07403194:media:mrm28963:mrm28963-math-0001, urn:x-wiley:07403194:media:mrm28963:mrm28963-math-0002, and urn:x-wiley:07403194:media:mrm28963:mrm28963-math-0003. 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.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Psychology |
Additional Information: | This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited |
Publisher: | Wiley |
ISSN: | 0740-3194 |
Date of First Compliant Deposit: | 2 March 2022 |
Date of Acceptance: | 20 July 2021 |
Last Modified: | 03 Jul 2023 13:15 |
URI: | https://orca.cardiff.ac.uk/id/eprint/147928 |
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