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Abstract #4370

Golden Angle Radial Cardiac Imaging without ECG Gating using Nonconvex Compressed Sensing

Andr Fischer1,2, Nicole Seiberlich3, Mark A. Griswold3, Peter M. Jakob1,2, Felix A. Breuer1

1Research Center Magnetic Resonance Bavaria (MRB) e.V., Wuerzburg, Germany; 2Department of Experimental Physics 5, University of Wuerzburg, Wuerzburg, Germany; 3Department of Radiology, University Hospitals, Cleveland, OH, United States

Real-time imaging with high spatial and high temporal resolution is of great interest in cardiac imaging. Golden angle radial imaging allows to retrospectively selecting the temporal resolution by grouping a certain number of temporally adjacent projections to a timeframe. In this work, a Compressed Sensing based technique is presented to reconstruct a Golden angle radially undersampled real-time cardiac dataset. Thereby, the sparse differences of the individual timeframes to a temporally averaged composite image of the dataset were CS reconstructed. By exploiting the joint sparsity of the receiver array, accurate reconstructions of a dataset exhibiting PVCs could be obtained from 24 projections.