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Cumulant expansion with localization: A new representation of the diffusion MRI signal

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 cumu...

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Autores principales: Afzali, Maryam, Pieciak, Tomasz, Jones, Derek K., Schneider, Jürgen E., Özarslan, Evren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406302/
https://www.ncbi.nlm.nih.gov/pubmed/37555138
http://dx.doi.org/10.3389/fnimg.2022.958680
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author Afzali, Maryam
Pieciak, Tomasz
Jones, Derek K.
Schneider, Jürgen E.
Özarslan, Evren
author_facet Afzali, Maryam
Pieciak, Tomasz
Jones, Derek K.
Schneider, Jürgen E.
Özarslan, Evren
author_sort Afzali, Maryam
collection PubMed
description 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.
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spelling pubmed-104063022023-08-08 Cumulant expansion with localization: A new representation of the diffusion MRI signal Afzali, Maryam Pieciak, Tomasz Jones, Derek K. Schneider, Jürgen E. Özarslan, Evren Front Neuroimaging Neuroimaging 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. Frontiers Media S.A. 2022-08-17 /pmc/articles/PMC10406302/ /pubmed/37555138 http://dx.doi.org/10.3389/fnimg.2022.958680 Text en Copyright © 2022 Afzali, Pieciak, Jones, Schneider and Özarslan. https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Neuroimaging
Afzali, Maryam
Pieciak, Tomasz
Jones, Derek K.
Schneider, Jürgen E.
Özarslan, Evren
Cumulant expansion with localization: A new representation of the diffusion MRI signal
title Cumulant expansion with localization: A new representation of the diffusion MRI signal
title_full Cumulant expansion with localization: A new representation of the diffusion MRI signal
title_fullStr Cumulant expansion with localization: A new representation of the diffusion MRI signal
title_full_unstemmed Cumulant expansion with localization: A new representation of the diffusion MRI signal
title_short Cumulant expansion with localization: A new representation of the diffusion MRI signal
title_sort cumulant expansion with localization: a new representation of the diffusion mri signal
topic Neuroimaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406302/
https://www.ncbi.nlm.nih.gov/pubmed/37555138
http://dx.doi.org/10.3389/fnimg.2022.958680
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