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Automatic Ascending Aorta Detection in CTA Datasets
Editor(s)
Tolxdorff, Thomas; Braun, Jürgen; Deserno, Thomas M.; Horsch, Alexander; Handels, Heinz; Meinzer, Hans-Peter
Book title (Conference Proceedings)
Bildverarbeitung für die Medizin 2008 : Algorithmen, Systeme, Anwendungen ; Proceedings des Workshops vom 6. bis 8. April 2008 in Berlin
Place of Conference
Berlin
Publisher
Springer
Place of Publication
Berlin
Pages
323-327
ISSN/ISBN
978-3-540-78639-9 ; 978-3-540-78640-5
Abstract
The assessment of coronary arteries is an essential step when diagnosing coronary heart diseases. There exists a wide range of specialized algorithms for the segmentation of the coronary arteries in Computed Tomography Angiography datasets. In general, these algorithms have to be initialized by manually placing a seed point at the origins of the coronary arteries or within the ascending aorta. In this paper we present a fast and robust algorithm for the automatic detection of the ascending aorta in Computed Tomography Angiography datasets using a two-level threshold ray propagation approach. We further combine this method with an aorta segmentation and coronary artery tree detection algorithm to achieve a fully automatic coronary artery segmentation.
