E. Anticeperov , Gennady K. Mansurov , Alexei A. Morozov uri V. Obukhov 3-133 A computational approach for risk-estimation of Coronary Artery Blockade using thermogram Tapobrata Lahiri 1 , Gohel Bakul Chandulal 1 , Hrishikesh Mishra 1 , Abhishek Vaish 1 , Pritish Kumar Varadwaj 1 , Shirshu Varma 1 , Uma Shankar Tiwary 1 , 2 , Y 2 2 2 1 Indian Institute of Information Technology, Deoghat, Jhalwa, Allahabad, India, Pin 211012 Tel.: + 91 [532] 2922242 Fax: + 91 [532] 2431689 2 Institute of Radio Engineering and Electronics, Moscow, Russia Tel.: + 7 [495] 629-73-82 E-mail 1 : { tlahiri, bcgohel, hrishikesh, abhishek, Shirshu, pritish, ust}@iiita.ac.in E-mail 2 :{ anticiperov, obukhov, morozov, mansurov}@cplire.ru Abstract The problem of risk-estimation of coronary artery Blockade by any non-invasive method, especially thermogram has a major biomedical impediment because of issues related to its correct evaluation. The problem is usually heightened for thermogram obtained by currently available infrared cameras because of their inability to retrieve thermal property of human body beyond 0.5 cm depth under skin. Moreover, current reports of publications of some promising works carried out using common biomedical signals and images for coronary artery blockade show that evaluation of coronary artery blockade is yet to be solved. In this direction result of a surface-thermogram based non-invasive experimental and computational design shows its possible future adoption for the purpose of evaluating coronary artery blockade in combination with other efficient non-invasive method that are working for the same purpose. Keywords: Thermography, image analysis, peripheral temperature profile, non-invasive diagnostics, coronary artery blockade 1. Introduction Coronary artery disease (CAD) is the major cause of death and disability all over the world. In CAD there is decrease in blood supply to heart muscles due to blockade in coronary artery. It hampers the functionality of heart due to decrease in oxygen supply. Atherosclerosis is major risk factor for causing CAD and peripheral vascular disease (PVD). It is a condition in which lipid deposition on the arterial wall gradually reduces the size of arterial lumen. Atherosclerosis can affect any artery of body. When it affects coronary artery, it leads to CAD and when it affects arteries of extremities, it leads to peripheral vascular diseases (PVD). Persons suffering from PVD have higher risk of developing coronary artery disease because atherosclerosis in peripheral arteries is associated with increased probability of atherosclerosis in coronary artery [1, 2]. Development of automated diagnostic system using data obtained from non-invasive methods is still a challenge to estimate risk of developing Coronary artery Disease within a subject [3]. However, Lahiri et al [4] and Gohel et al [5] have showed that there is yet a possibility of improving the scope of automated diagnostics by carefully selecting new features and designing novel classification techniques. For thermogram, the common limitation is the inability of commonly available infrared camera to obtain thermal property of human beyond 0.5 cm depth under the body surface for which research towards invasive thermogram is the current trend today to extract diagnostic information on heart [6]. In this regard our motivation was primarily to study thermal profile obtained from body- surface thermogram and to investigate whether it is carrying out any additional symptomatic Vjacheslav