Keywords: Myocardium, Cardiovascular
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.
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