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Titolo:
Acquisition, segmentation and tracking of the cerebral vascular tree on 3Dmagnetic resonance angiography images
Autore:
Flasque, N; Desvignes, M; Constans, JM; Revenu, M;
Indirizzi:
Inst Sci Mat & Rayonnement, GREYC, F-14050 Caen, France Inst Sci Mat & Rayonnement Caen France F-14050 EYC, F-14050 Caen, France
Titolo Testata:
MEDICAL IMAGE ANALYSIS
fascicolo: 3, volume: 5, anno: 2001,
pagine: 173 - 183
SICI:
1361-8415(200109)5:3<173:ASATOT>2.0.ZU;2-P
Fonte:
ISI
Lingua:
ENG
Soggetto:
MR-ANGIOGRAPHY; QUANTIFICATION; ACCURACY; SPACE;
Keywords:
cerebral vascular tree; magnetic resonance angiography;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
29
Recensione:
Indirizzi per estratti:
Indirizzo: Flasque, N Inst Sci Mat & Rayonnement, GREYC, 6 Blvd Marechal Juin, F-14050 Caen, France Inst Sci Mat & Rayonnement 6 Blvd Marechal Juin Caen FranceF-14050
Citazione:
N. Flasque et al., "Acquisition, segmentation and tracking of the cerebral vascular tree on 3Dmagnetic resonance angiography images", MED IMAGE A, 5(3), 2001, pp. 173-183

Abstract

This paper presents a method for the detection, representation and visualisation of the cerebral vascular tree and its application to magnetic resonance angiography (MRA) images. The detection method is an iterative trackingof the vessel centreline with subvoxel accuracy and precise orientation estimation. This tracking algorithm deals with forks. Centrelines of the vessels are modelled by second-order B-spline. This method is used to obtain a high-level description of the whole vascular network. Applications to real angiographic data are presented. An MRA sequence has been designed, and a global segmentation of the whole vascular tree is realised in three steps. Applications of this work are accurate 3D representation of the vessel centreline and of the vascular tree, and visualisation. The tracking process is also successfully applied to 3D contrast enhanced MR digital subtracted angiography (3D-CE-MRA) of the inferior member vessels. In addition, detectionof artery stenosis for routine clinical use is possible due to the high precision of the tracking algorithm. (C) 2001 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 17/01/20 alle ore 20:23:49