Characterization of 3D bifurcations in micro-scan and MRA-TOF images of cerebral vasculature for prediction of intra-cranial aneurysms.

3D Graph 3D skeleton Aneurysm Bifurcation characterization Geometry MRA-TOF Micro-CT

Journal

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
ISSN: 1879-0771
Titre abrégé: Comput Med Imaging Graph
Pays: United States
ID NLM: 8806104

Informations de publication

Date de publication:
09 2020
Historique:
received: 29 10 2019
revised: 26 06 2020
accepted: 26 06 2020
pubmed: 18 7 2020
medline: 26 10 2021
entrez: 18 7 2020
Statut: ppublish

Résumé

An aneurysm is a vascular disorder where ballooning may form in a weakened section of the wall in the blood vessel. The swelling of the aneurysm may lead to its rupture. Intra-cranial aneurysms are the ones presenting the higher risks. If ruptured, the aneurysm may induce a subarachnoid haemorrhage which could lead to premature death or permanent disability. In this study, we are interested in locating and characterizing the bifurcations of the cerebral vascular tree. We use a 3D skeletonization combined with a graph-based approach to detect the bifurcations. In this work, we thus propose a full geometric characterisation of the bifurcations and related arteries. Aside from any genetic predisposition and environmental risk factors, the geometry of the brain vasculature may influence the chance of aneurysm formation. Among the main achievements, in this paper, we propose accurate, predictive 3D measurements of the bifurcations and we furthermore estimate the risk of occurrence of an aneurysm on a given bifurcation.

Identifiants

pubmed: 32679470
pii: S0895-6111(20)30054-9
doi: 10.1016/j.compmedimag.2020.101751
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

101751

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

A Nouri (A)

ENSC, Ecole Nationale Supérieure de Chimie, LASTID Laboratory, Department of Physics, Faculty of Science, Ibn Tofail University, BP 133, 14000 Kénitra, Morocco.

F Autrusseau (F)

Inserm, UMR 1229, RMeS, Regenerative Medicine and Skeleton, & Laboratoire de Thermique et Energie de Nantes, LTeN, U6607, University of Nantes, F-44042, France. Electronic address: Florent.Autrusseau@univ-nantes.fr.

R Bourcier (R)

Department of Diagnostic and Interventional Neuroradiology, Hospital Guillaume et René Laennec; INSERM, UMR1087, l'institut du thorax, CHU de Nantes, France.

A Gaignard (A)

Department of Diagnostic and Interventional Neuroradiology, Hospital Guillaume et René Laennec; INSERM, UMR1087, l'institut du thorax, CHU de Nantes, France.

V L'allinec (V)

Department of Diagnostic and Interventional Neuroradiology, Hospital Guillaume et René Laennec; INSERM, UMR1087, l'institut du thorax, CHU de Nantes & Angers University Hospital, Radiology Department, Angers, France.

C Menguy (C)

Department of Diagnostic and Interventional Neuroradiology, Hospital Guillaume et René Laennec; INSERM, UMR1087, l'institut du thorax, CHU de Nantes, France.

J Véziers (J)

Inserm, UMR 1229, RMeS, Regenerative Medicine and Skeleton, University of Nantes, ONIRIS, F-44042, France.

H Desal (H)

Department of Diagnostic and Interventional Neuroradiology, Hospital Guillaume et René Laennec; INSERM, UMR1087, l'institut du thorax, CHU de Nantes, France.

G Loirand (G)

Department of Diagnostic and Interventional Neuroradiology, Hospital Guillaume et René Laennec; INSERM, UMR1087, l'institut du thorax, CHU de Nantes, France.

R Redon (R)

Department of Diagnostic and Interventional Neuroradiology, Hospital Guillaume et René Laennec; INSERM, UMR1087, l'institut du thorax, CHU de Nantes, France.

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