초록

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Abstract ▼ AI-Helper

In this paper, we propose a method for extracting contour of vessels in X-ray coronary angiography using vessel enhancement and tracking technique. Our method consists of four steps. First, for reducing noise and enhancing the vascular structure from background, anisotropic diffusing filtering and H...

In this paper, we propose a method for extracting contour of vessels in X-ray coronary angiography using vessel enhancement and tracking technique. Our method consists of four steps. First, for reducing noise and enhancing the vascular structure from background, anisotropic diffusing filtering and Hessian-based multi-scale filtering are performed. Second, for reducing the effects of neighbor structures, an initial vessel region is segmented by region growing with adaptively defined threshold value. To connect broken vessels in occluded region, the initial vessel region is thickened by morphological dilation. Third, to obtain an initial vessel centerline, thinning is performed in the initial vessel region. For reducing the effects of noises and various anatomical structures after thinning, vessel tracking technique is performed. Finally, contrast is stretched based on the intensity distribution of vessel. Then vessel contour points are extracted by canny edge detector and are selected by the crossing contour points perpendicular to the vessel centerline. The performance of our method is evaluated with the aspects of visual inspection and processing time. Experimental results show that our method provides accurate results in irregular distribution of the contrast medium, vessel overlap, superimposition with various anatomical structures such as ribs, spine, or heart chambers, occluded vessel.

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