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Abstract #0028

Improved free-running self-navigated 4D whole-heart MRI through combination of compressed sensing and parallel imaging.

Simone Coppo 1 , Li Feng 2 , Davide Piccini 1,3 , Jrme Chaptinel 1 , Gabriele Bonanno 1 , Gabriella Vincenti 4 , Juerg Schwitter 4 , Ricardo Otazo 2 , Daniel K. Sodickson 2 , and Matthias Stuber 1

1 Department of Radiology, University Hospital (CHUV), University of Lausanne (UNIL), Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 2 Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, United States, 3 Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland, 4 Department of Cardiology, University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland

A novel reconstruction framework that combines dynamic compressed sensing and parallel imaging is integrated with a free-running self-navigated 4D radial whole-heart imaging technique for simultaneous coronary artery visualization and cardiac function assessment. The proposed framework enables a significant increase of the temporal resolution, as well as a significant reduction of streaking artifacts, thus increasing overall image quality compared to the standard gridding reconstruction. Initial results obtained in vivo and in humans are presented.

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