A deep‐learning‐based pipeline for automatic fusion of CT coronary angiogram and stress perfusion CMR

Key Points

• The study aims to develop an automated pipeline to fuse cardiac CT coronary angiograms with stress perfusion CMR imaging.
• Utilized deep learning techniques for image processing
• Developed a pipeline for automatic fusion of imaging modalities
• Validated the effectiveness of the fusion framework
• Successfully fused cardiac CTCA and CMR imaging
• Demonstrated potential effectiveness of the automated framework