An AI-based pipeline for automatic image fusion of cardiac CTCA and perfusion MRI

Motivation: The 3D fusion of coronary structure and myocardial blood flow data helps to reduce the misallocation of affected vessels to their associated myocardial territories. Goal(s): An AI-based pipeline has been developed that uses advanced machine learning algorithms to automatically fuse images from cardiac CTCA and perfusion MRI. Approach: The pipeline includes an automatic reorientation of 3D CT coronary angiography and fusion with stress cardiovascular magnetic resonance images. Results: we achieved 3D fusion of CTCA and CMR establishing a correlation between coronary artery stenosis and stress-induced myocardial hypoperfusion. Impact: the pipeline can assist in clinical assessments of coronary artery disease.