Computer Aided Detection and measurement of peripheral artery disease.

Détails

ID Serval
serval:BIB_E49D284F263F
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Computer Aided Detection and measurement of peripheral artery disease.
Périodique
Studies in Health Technology and Informatics
Auteur(s)
Dehmeshki J., Ion A., Ellis T., Doenz F., Jouannic A.M., Qanadli S.
ISSN
0926-9630 (Print)
ISSN-L
0926-9630
Statut éditorial
Publié
Date de publication
2014
Volume
205
Pages
1153-1157
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Computer-Aided Tomography Angiography (CTA) images are the standard for assessing Peripheral artery disease (PAD). This paper presents a Computer Aided Detection (CAD) and Computer Aided Measurement (CAM) system for PAD. The CAD stage detects the arterial network using a 3D region growing method and a fast 3D morphology operation. The CAM stage aims to accurately measure the artery diameters from the detected vessel centerline, compensating for the partial volume effect using Expectation Maximization (EM) and a Markov Random field (MRF). The system has been evaluated on phantom data and also applied to fifteen (15) CTA datasets, where the detection accuracy of stenosis was 88% and the measurement accuracy was with an 8% error.
Pubmed
Création de la notice
10/12/2014 11:28
Dernière modification de la notice
20/08/2019 17:08
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