Realization of High Performance Real Time Arteriosclerosis Diagnosis System by Soft Computing

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Rupture of plaque piled up in the coronary artery causes acute coronary syndromes (ACS) including arteriosclerosis which results in myocardial infarction leading to death in the worst case. Plaque is classified into stable plaque (easy to rupture) and unstable plaque according to the structure of plaque. Therefore for the early detection and diagnosis of ACS, tissue characterization of coronary plaque with high accuracy is essential. In this research, soft computing based signal analysis imitating the information processing scheme in the human brain is applied for the tissue characterization of coronary plaque. It enabled the high performance diagnosis system giving 2D and/or 3D imaging of characterized plaque on the bed side.