Pieciak, Tomasz, Afzali, Maryam, Bogusz, Fabian, Aja-Fernández, Santiago and Jones, Derek K.  ORCID: https://orcid.org/0000-0003-4409-8049
2021.
Q-Space quantitative diffusion MRI measures using a stretched-exponential representation.
Presented at: International MICCAI Workshop,
Lima, Peru,
Oct 2020.
Published in: Gyori, Noemi, Hutter, Jana, Nath, Vishwesh and Palombo, Marco eds.
Computational Diffusion MRI.
Mathematics and Visualization
Springer,
pp. 121-133.
10.1007/978-3-030-73018-5_10
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Abstract
Diffusion magnetic resonance imaging (dMRI) is a relatively modern technique used to study tissue microstructure in a non-invasive way. Non-Gaussian diffusion representation is related to the restricted diffusion and can provide information about the underlying tissue properties. In this paper, we analytically derive nth order statistics of the signal considering a stretched-exponential representation of the diffusion. Then, we retrieve the Q-space quantitative measures such as the Return-To-the-Origin Probability (RTOP), Q-space mean square displacement (QMSD), Q-space mean fourth-order displacement (QMFD). The stretched-exponential representation enables the handling of the diffusion contributions from a higher b-value regime under a non-Gaussian assumption, which can be useful in diagnosing or prognosis of neurodegenerative diseases in the early stages. Numerical implementation of the method is freely available at https://github.com/TPieciak/Stretched.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Published Online |
| Status: | Published |
| Schools: | Psychology Cardiff University Brain Research Imaging Centre (CUBRIC) |
| Publisher: | Springer |
| ISBN: | 9783030730178 |
| Date of First Compliant Deposit: | 28 October 2021 |
| Date of Acceptance: | 10 September 2020 |
| Last Modified: | 10 Nov 2022 09:56 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/145067 |
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