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Automatic Ascending Aorta Detection in CTA Datasets

15 years 12 months ago
Automatic Ascending Aorta Detection in CTA Datasets
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.
Stefan C. Saur, Caroline Kühnel, Tobias Boska
Added 31 Dec 2008
Updated 31 Dec 2008
Type Conference
Year 2008
Where BVM 2008
Authors Stefan C. Saur, Caroline Kühnel, Tobias Boskamp, Gábor Székely, Philippe C. Cattin
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