Title: Automatic ostia detection in CTA volume data: a comparative study

Authors: Noha A. Seada; Mostafa G.M. Mostafa

Addresses: Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt ' Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt

Abstract: Automatic coronaries ostia detection is implemented using two different methodologies: template matching and corner detection. Template matching is implemented for coronaries ostia detection, since ostia points have a special pattern on segmented ascending aorta contour. Therefore, two templates are identified, one for the right ostium and the other for the left ostium. For corner detection; Harris corner detection is implemented to detect coronaries ostia as corners appearing on the ascending aorta based on ostia anatomical features. The two methods used for automatic ostia detection succeeded in detecting the coronaries ostia points in all test cases and results are validated versus a ground truth. Although both approaches succeeded in ostia detection; the template matching accuracy and processing time are better than that of the Harris corner detection. Moreover, the two methodologies presented for comparison; give competitive accuracy and processing time with respect to other previous work.

Keywords: template matching; automatic ostia detection; computed tomography angiography; CTA.

DOI: 10.1504/IJMEI.2019.096894

International Journal of Medical Engineering and Informatics, 2019 Vol.11 No.1, pp.86 - 101

Received: 12 Jun 2017
Accepted: 11 Jul 2017
Published online: 13 Dec 2018 *

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