Related Experiment Video
Updated: Jun 10, 2025

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
Published on: June 3, 2018
The role of artificial intelligence in coronary CT angiography
Rudolf L M van Herten1,2,3, Ioannis Lagogiannis4,5,6, Tim Leiner7,8
1Department of Biomedical Engineering and Physics, Amsterdam University Medical Center-location University of Amsterdam, Amsterdam, The Netherlands. r.l.m.vanherten@amsterdamumc.nl.
Abstract:
Coronary CT angiography (CCTA) offers an efficient and reliable tool for the non-invasive assessment of suspected coronary artery disease through the analysis of coronary artery plaque and stenosis. However, the detailed manual analysis of CCTA is a burdensome task requiring highly skilled experts. Recent advances in artificial intelligence (AI) have made significant progress toward a more comprehensive automated analysis of CCTA images, offering potential improvements in terms of speed, performance and scalability. This work offers an overview of the recent developments of AI in CCTA. We cover methodological advances for coronary artery tree and whole heart analysis, and provide an overview of AI techniques that have shown to be valuable for the analysis of cardiac anatomy and pathology in CCTA. Finally, we provide a general discussion regarding current challenges and limitations, and discuss prospects for future research.
Related Concept Videos
Imaging Studies for Cardiovascular System V: CT
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT
Acute Coronary Syndrome III: Diagnostic studies
Coronary Artery Disease V: Surgical Management
Computed Tomography
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

