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Automatic Ascending Aorta Detection in CTA Datasets

Stefan C. Saur, Caroline Kühnel, Tobias Boskamp, Gábor Székely and Philippe Cattin
Bildverarbeitung für der Medizin 2008
April 2008


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.

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  author = {Stefan C. Saur and Caroline K\"uhnel and Tobias Boskamp and Gábor Székely and Philippe Cattin},
  title = {Automatic Ascending Aorta Detection in CTA Datasets},
  booktitle = {Bildverarbeitung für der Medizin 2008},
  year = {2008},
  month = {April},
  pages = {323-327},
  keywords = {}