Afzali Deligani, M orcid.org/0000-0003-3378-0878, Pieciak, T, Jones, DK et al. (2 more authors) (2022) Cumulant Expansion with Localization: A new representation of the diffusion MRI signal. Frontiers in Neuroimaging, 1. 958680. ISSN 2813-1193
Abstract
Diffusion MR is sensitive to the microstructural features of a sample. Fine-scale characteristics can be probed by employing strong diffusion gradients while the low b-value regime is determined by the cumulants of the distribution of particle displacements. A signal representation based on the cumulants, however, suffers from a finite convergence radius and cannot represent the ‘localization regime' characterized by a stretched exponential decay that emerges at large gradient strengths. Here, we propose a new representation for the diffusion MR signal. Our method provides not only a robust estimate of the first three cumulants but also a meaningful extrapolation of the entire signal decay.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 Afzali, Pieciak, Jones, Schneider and Özarslan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
Keywords: | diffusion MRI, cumulant expansion, localization regime, kurtosis, gradient strength |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Biomedical Imaging Science Dept (Leeds) |
Funding Information: | Funder Grant number Wellcome Trust 219536/Z/19/Z |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Jul 2022 14:59 |
Last Modified: | 19 May 2023 15:17 |
Status: | Published |
Publisher: | Frontiers Media |
Identification Number: | 10.3389/fnimg.2022.958680 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:189259 |