Greedy Soft Matching for Vascular Tracking of Coronary Angiographic Image Sequences

Vascular tracking of coronary angiographic image sequences is one of the most clinically important tasks in the diagnostic assessment and interventional guidance of cardiac disease. It is difficult to automate this application because the vascular structure is complex; moreover, unsatisfactory angiography image quality may exacerbate the difficulty of vasculature extraction. This paper converts va...