The significant proportion (20-30%) of emergency department admissions are related to patients with acute chest pain. In this case, the patients are needed to have a rapid assessment as time-critical treatments may be needed. It has been shown that parameters such as changes in ECG characteristics or alternation of cardiac enzyme/protein may detect only 30% of acute ischemic events. Here, echocardiography can play a valuable role as an alternative diagnostic tool in an appropriate triage of patients with acute chest pain. Echocardiography is a reliable method for revealing the anomalies in the regional heart wall motion. Due to the early manifestation of Myocardial Infarction (MI) symptoms in echocardiogram, this imaging modality is now included in the universal definition of acute MI and in international guidelines regarding the management of cardiac arrest.
In this project, the aim is to design an automatic model, which trace the movement of the heart’s wall using the echocardiogram images and detect the anomalies in the wall motion. To be more specific this project is focused on early and accurate detection of the abnormal wall movements in heart associated with the MI.