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Cumulant expansion with localization: A new representation of the diffusion MRI signal
University of Leeds, Leeds, United Kingdom; University of Cardiff, United Kingdom.
Universidad de Valladolid, Spain.
Cardiff University, United Kingdom.
Leeds University, United Kingdom.
Show others and affiliations
2022 (English)In: Frontiers in Neuroimaging, E-ISSN 2813-1193, Vol. 1Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2022. Vol. 1
Keywords [en]
diusion MRI, cumulant expansion, localization regime, kurtosis, gradient strength
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-198026DOI: 10.3389/fnimg.2022.958680ISI: 001537149200001PubMedID: 37555138Scopus ID: 2-s2.0-105005547189OAI: oai:DiVA.org:liu-198026DiVA, id: diva2:1799434
Funder
Wellcome trust, 096646/Z/11/ZWellcome trust, 219536/Z/19/ZSwedish Foundation for Strategic Research
Note

Funding agencies: This research was funded in whole, or in part, by a Wellcome Trust Investigator Award (219536/Z/19/Z, 096646/Z/11/Z) and a Wellcome Trust Strategic Award (104943/Z/14/Z), the Swedish Foundation for Strategic Research (RMX18-0056), Linköping University Center for Industrial Information Technology (CENIIT), Sweden's Innovation Agency (VINNOVA) ASSIST, and Analytic Imaging Diagnostic Arena (AIDA). This work was also supported by the British Heart Foundation, UK (SI/14/1/30718), EPSRC (EP/M029778/1), and The Wolfson Foundation. TP acknowledges the Polish National Agency for Academic Exchange for the grant PPN/BEK/2019/1/00421 under the Bekker programme and the Ministry of Science and Higher Education (Poland) under the scholarship for outstanding young scientists (692/STYP/13/2018).

Available from: 2023-09-22 Created: 2023-09-22 Last updated: 2025-10-10

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Özarslan, Evren

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