Presentation description

Cardiovascular disease is the leading cause of death globally, and one of the most impactful subsets is coronary artery disease. Understanding the geometric structure of the heart's vascular network can provide insight into the development of coronary artery disease. However, these vasculature geometries are often limited to the primary branches of the coronaries. My study developed a method to efficiently obtain subject-specific, high-resolution vasculature geometries.