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Left ventricular performance, one of the hallmarks of coronary artery disease, can be detected by echocardiography. Coronary artery disease (CAD) also known as myocardial ischemic heart disease (MIHD), is the most common type of heart disease and cause of heart attacks or heart failure. Heart failure (HF) can result from any structural or functional cardiac disorder that impairs the ability of the ventricle to fill with or eject blood. Echocardiography represents "the gold standard" in the assessment of left ventricle LV systolic and diastolic dysfunction. Left ventricular dimensions, volumes and wall thicknesses are measured from systolic and diastolic movements that are widely used in clinical practice and research. To obtain accurate linear measurements from the echocardiography accurate segmentation of the LV is essential. This paper proposes a method to segment left ventricle to detect the systolic and diastole movements which is obtained by extracting the frames from the video of echocardiogram which is further processed to detect systolic and diastole movements so that movement of heart can be clear to the cardiologist to visualize the left ventricle. The obtained results are efficient and can be utilized for the purpose of detecting abnormal heart wall motion so that many heart problems can be detected in echocardiography instead of using advanced diagnosis like angiogram which may have risk.

Analysis for Diagnosing Myocardial Ischemia by Detecting the Boundary of Left Ventricle in Echocardiography Sequences using GVF snake