The conventional 3D whole-heart free-breathing coronary MR angiography suffers from a long scan time. However, using very high acceleration factors leads to degradation of image quality due to insufficient noise removal. In this study, we use Compressed-SENSE Artificial Intelligence (CS-AI) framework to acquire highly accelerated 3D non-contrast-enhanced mDixon water-fat separation whole-heart CMRA. The result shows that CS-AI reconstruction can significantly decrease scan time with sufficient image quality compared to Compressed-SENSE(CS) and might be clinically useful in assessment of coronary artery disease.
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