• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.4
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• pp.951-956
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• 2011

Coronary angiography technology is usually used for examining or treating coronary artery stenosis. Especially, when a cardiologist inserts catheter into the heart blood vessel, the catheter path detection system is needed because the cardiologist has difficulty in not damaging vessel. Recently, to reduce this difficulty, many searchers have been working for the various image processing technologies, such as vessel edge detection, optimal threshold method, etc. However the results of these searches are showing different performances depend on the contrast and quality of images. Therefore, this study for the coronary angiography suggests a novel algorithm to avoid these problems. The suggested algorithm consists of multi-sampling, interpolation, threshold method, and fault points elimination. To evaluate the performance of the proposed method, we used several angiographic images in experimentation, and we found that the proposed method is effective for detecting the catheter insertion path.