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.
CITATION STYLE
Saur, S. C., Kühnel, C., Boskamp, T., Székely, G., & Cattin, P. (2008). Automatic ascending aorta detection in CTA datasets. In Informatik aktuell (pp. 323–327). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-540-78640-5_65
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