Echocardiogram has become an important diagnostic tool in modern cardiology. Although this imaging modality is the most widely used to evaluate regional left ventricular function, it allows non-invasive real-time visualization of left ventricular motion. Evaluation of the left ventricular function based on subjective experience-dependent visual interpretation of dynamic images of echocardiograph. Unfortunately echocardiograph is notoriously difficult to interpret even for the best physicians where they could misdiagnose the heart disease. Hence there is a tremendous need for an automated technique that can provide objective diagnostic assistance, particularly to the less-experienced cardiologist.
In this study, the team address the task of building a computer aided diagnosis system that can detect LV motion abnormalities from echocardiograph. The team work based on the anatomical structure of the left ventricular wall in short axis echocardiograph and the team will use the wall thickening as a parameter to evaluate a profile for the regional myocardial function in normal conditions. Continue -->
In this study, the team address the task of building a computer aided diagnosis system that can detect LV motion abnormalities from echocardiograph. The team work based on the anatomical structure of the left ventricular wall in short axis echocardiograph and the team will use the wall thickening as a parameter to evaluate a profile for the regional myocardial function in normal conditions. Continue -->
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