Szczegóły publikacji
Opis bibliograficzny
Q-space quantitative diffusion MRI measures using a stretched-exponential representation / Tomasz PIĘCIAK, Maryam Afzali, Fabian BOGUSZ, Santiago Aja-Fernández, Derek K. Jones // W: Computational Diffusion MRI : International MICCAI Workshop, Lima, Peru, October 2020 / eds. Noemi Gyori, [et al.]. — Cham : Springer Nature Switzerland AG, cop. 2021. — (Mathematics and Visualization ; ISSN 1612-3786). — ISBN: 978-3-030-73017-8; e-ISBN: 978-3-030-73018-5. — S. 121–133. — Bibliogr., Abstr. — T. Pięciak - dod. afiliacja: LPI, ETSI Telecomunicación Universidad de Valladolid, Valladolid, Spain
Autorzy (5)
- AGHPięciak Tomasz
- Afzali Maryam
- AGHBogusz Fabian
- Aja-Fernández Santiago
- Jones Derek K.
Słowa kluczowe
Dane bibliometryczne
ID BaDAP | 136955 |
---|---|
Data dodania do BaDAP | 2021-10-12 |
DOI | 10.1007/978-3-030-73018-5_10 |
Rok publikacji | 2021 |
Typ publikacji | materiały konferencyjne (aut.) |
Otwarty dostęp | |
Wydawca | Springer |
Konferencja | 23rd international conference on Medical Image Computing and Computer Assisted Intervention |
Czasopismo/seria | Mathematics and Visualization |
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.