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http://dx.doi.org/10.15701/kcgs.2017.23.1.49

Automatic Extraction of Ascending Aorta and Ostium in Cardiac CT Angiography Images  

Kim, Hye-Ryun (Dept. of Computer Science and Engineering, Ewha Womans University)
Kang, Mi-Sun (Dept. of Computer Science and Engineering, Ewha Womans University)
Kim, Myoung-Hee (Dept. of Computer Science and Engineering, Ewha Womans University)
Publication Information
Journal of the Korea Computer Graphics Society / v.23, no.1, 2017 , pp. 49-55 More about this Journal
Abstract
Computed tomographic angiography (CTA) is widely used in the diagnosis and treatment of coronary artery disease because it shows not only the whole anatomical structure of the cardiovascular three-dimensionally but also provides information on the lesion and type of plaque. However, due to the large size of the image, there is a limitation in manually extracting coronary arteries, and related researches are performed to automatically extract coronary arteries accurately. As the coronary artery originate from the ascending aorta, the ascending aorta and ostium should be detected to extract the coronary tree accurately. In this paper, we propose an automatic segmentation for the ostium as a starting structure of coronary artery in CTA. First, the region of the ascending aorta is initially detected by using Hough circle transform based on the relative position and size of the ascending aorta. Second, the volume of interest is defined to reduce the search range based on the initial area. Third, the refined ascending aorta is segmented by using a two-dimensional geodesic active contour. Finally, the two ostia are detected within the region of the refined ascending aorta. For the evaluation of our method, we measured the Euclidean distance between the result and the ground truths annotated manually by medical experts in 20 CTA images. The experimental results showed that the ostia were accurately detected.
Keywords
Aorta and ostium detection; Computed Tomography Angiography(CTA); Geodesic Active Contours; Hough Transform;
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