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)


Słowa kluczowe

diffusion weighted imagingmicrostructural measuresnon Gaussian diffusiondiffusion MRIreturn to the origin probability

Dane bibliometryczne

ID BaDAP136955
Data dodania do BaDAP2021-10-12
DOI10.1007/978-3-030-73018-5_10
Rok publikacji2021
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaSpringer
Konferencja23rd international conference on Medical Image Computing and Computer Assisted Intervention
Czasopismo/seriaMathematics 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.

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Glioma classification using multimodal radiology and histology data / Azam Hamidinekoo, Tomasz PIĘCIAK, Maryam Afzali, Otar Akanyeti, Yinyin Yuan // W: Brainlesion: glioma, multiple sclerosis, stroke and traumatic brain injuries : 6th international workshop, BrainLes 2020 : held in conjunction with MICCAI 2020 : Lima, Peru, October 4, 2020 : selected papers, Pt. 2 / eds. Alessandro Crimi, Spyridon Bakas. — Cham : Springer Nature Switzerland AG, cop. 2021. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12659. Image Processing, Computer Vision, Pattern Recognition, and Graphics). — ISBN: 978-3-030-72086-5; e-ISBN: 978-3-030-72087-2. — S. 508–518. — Bibliogr. s. 517-518, Abstr. — T. Pięciak - dod. afiliacja: Universidad de Valladolid, Spain