Assessment of qualitative and quantitative features in coronary artery MRA

Jérôme Velut 1 Pierre-Axel Lentz 2 Dominique Boulmier 2 Jean-Louis Coatrieux 1 Christine Toumoulin 3, *
* Auteur correspondant
1 LTSI - Laboratoire Traitement du Signal et de l'Image
2 Service de cardiologie et maladies vasculaires
3 LTSI - Laboratoire Traitement du Signal et de l'Image
Abstract : In this paper, an analysis of the coronary trees using Magnetic Resonance Angiography (MRA) is performed. The objective is to estimate how much MRA is capable to provide insights into the vascular network. A qualitative exploration of the MRA volumes with anatomical labelling by experts is rst performed, Quantitative vessel features are then manually extracted providing a ground truth which is further compared to a semi-automatic extraction. This evaluation is carried out on 10 datasets of the SSFP MRA sequence and allows getting a more precise view on the current state-of-the- art as well as on future achievements to be done.
Keywords : coronary artery MRA Feature extraction and characterization
Type de document :
Article dans une revue
IRBM, Elsevier Masson, 2011, 32 (4), pp.229-242. 〈10.1016/j.irbm.2011.05.002〉
Liste complète des métadonnées
https://www.hal.inserm.fr/inserm-00678124
Contributeur : Christine Toumoulin <>
Soumis le : lundi 12 mars 2012 - 10:20:22
Dernière modification le : mercredi 16 mai 2018 - 11:23:41
Document(s) archivé(s) le : jeudi 14 juin 2012 - 14:57:19

Fichier

Article_IRBM_Jerome_Velut_Vers...
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

UNIV-RENNES1 | LTSI | BIOSIT | UNIV-RENNES

Citation

Jérôme Velut, Pierre-Axel Lentz, Dominique Boulmier, Jean-Louis Coatrieux, Christine Toumoulin. Assessment of qualitative and quantitative features in coronary artery MRA. IRBM, Elsevier Masson, 2011, 32 (4), pp.229-242. 〈10.1016/j.irbm.2011.05.002〉. 〈inserm-00678124〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

315

Téléchargements de fichiers

212

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD