Automatic segmentation of myocardial contours and relevant areas like infraction no-reflow is an important step for the quantitative evaluation infarction. In this work, we propose a cascaded convolutional neural network automatic infarction from delayed-enhancement cardiac MRI. We first use 2D U-Net to focus on intra-slice information perform preliminary segmentation. After that, 3D utilize vo...

Increased Arterial Blood Pressure remains as a major risk factor for developing cardiovascular disease in adults. Worldwide, hypertension affects as many as 1 billion people and isresponsible for approximately 7.1 million deaths per year, as well as one of the most common causes for myocardial infraction and stroke. .Unmeasurable efforts have been made in order to find different treatment alter...

Recognition of myocardial injury after non-cardiac surgery is difficult, since strong analgesics (e.g. opioids) can mask anginal symptoms, and ECG abnormalities are subtle or transient. Thorough knowledge of the pathophysiological mechanisms is therefore essential. These mechanisms can be subdivided into four groups: type I myocardial infraction (MI), type II MI, non-ischaemic cardiac pathology...

Cardiovascular events are the most common cause of morbidity and mortality throughout the world and myocardial infarction is the most common cause of these accidents. Myocardial infarction impairs the mechanical and electrical activity of the heart that these disorders predispose the patient to cardiac arrhythmias including ventricular tachycardia. QT dispersion is an important parameter to eva...