Aortic Segmentation in Real-Time Flow Exercise Cardiac Magnetic Resonance Images using Convolutional Neural Networks
Background: Cardiovascular disease is common and it is therefore important to have tools to investigate pathophysiology and normal physiology of the cardiovascular system. One such tool is using cardiovascular magnetic resonance in order to measure blood flow in vessels, particularly while the participant imaged is exercising. This enables studying the blood flow during exercise which is especiall
