Non-contrast-enhanced mDixon water-fat separation whole-heart coronary MRA with a deep learning constrained Compressed SENSE reconstruction — Wenyun Liu (2023) | RDL Network
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.
Louisa Fay, Tobias Hepp, Moritz T. Winkelmann, Annette Peters, Margit Heier, Thoralf Niendorf, Tobias Pischon, Beate Endemann, Jeanette Schulz‐Menger, Lilian Krist, Matthias B. Schulze, Andreas Wienke, Nadia Obi, Bernard C Silenou, Berit Lange, Hans‐Ulrich Kauczor, Wolfgang Lieb, Hansjörg Baurecht, Michael Leitzmann, Kira Trares, Hermann Brenner, Karin B. Michels,
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