Automatic Segmentation of the Vessel Lumen from 3D CTA Images of Aortic Dissection

Kovács, Tamás and Cattin, Philippe and Alkadhi, Hatem and Wildermuth, Simon and Székely, Gábor. (2006) Automatic Segmentation of the Vessel Lumen from 3D CTA Images of Aortic Dissection. In: Bildverarbeitung für die Medizin 2006 : Algorithmen, Systeme, Anwendungen ; Proceedings des Workshops vom 19. - 21. März 2006 in Hamburg. Berlin, pp. 161-165.

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Official URL: http://edoc.unibas.ch/dok/A6308297

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Acute aortic dissection is a life-threatening condition and must be diagnosed and treated promptly. For treatment planning the reliable identification of the true and false lumen is crucial. However, a fully automatic Computer Aided Diagnosing system capable to display the different lumens in an easily comprehensible and timely manner is still not available. In this paper we present the first step towards such a system, namely a method that segments the entire aorta without any user interaction. The method is robust against inhomogeneous distribution of the contrast agent generally seen in dissected aortas, high-density artifacts, and the dissection membrane separating the true and the false lumen.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Series Name:Informatik akutell
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:09 Jun 2020 11:20
Deposited On:03 Jul 2015 08:53

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