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http://dx.doi.org/10.6109/jkiice.2011.15.9.2013

Detection of coronary artery stenosis using Fuzzy algorithm  

Lee, Ju-Won (안동과학대학 의료공학과)
Kim, Sung-Hu (경상대학교 전자공학과)
Kim, Joo-Ho (경상대학교 전자공학과)
Lee, Han-Wook (경상대학교 전자공학과)
Jung, Won-Geun (한국국제대학교 전기에너지공학과)
Lee, Gun-Ki (경상대학교 전자공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.15, no.9, 2011 , pp. 2013-2018 More about this Journal
Abstract
Coronary angioplasty and coronary artery bypass graft, both are for the treatment of myocardial infarction widely used methods. For these procedures, there are especially difficulties in stenosis of blood vessels to diagnose accurately. To remedy this problem, by several researchers by using edge detection to detect stenosis of blood vessels has been studying. However, the results of using these methods vary defend on the vascular structure and the quality of the image. In this study, to improve these problems, the new algorithm is proposed. The proposed algorithm consists of methods to detect bifurcation of blood vessels and its ending point by using multi sampling, threshold and fuzzy algorithm. To evaluate the performance of the proposed algorithm, angiography was used for the different results of the blood vessels of the proposed algorithm, and the result was effective in detecting bifurcation of blood vessels and its ending point.
Keywords
coronary angioplasty; coronary artery bypass graft; myocardial infarction; fuzzy algorithm;
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