Daniel Neumann1, Nicole Seiberlich2, Felix A. Breuer1, Gregory Lee3, Philipp Ehses4, 5, Jeffrey L. Duerk2, 3, Peter M. Jakob6, Mark A. Griswold, 23
1Research Center for Magnetic Resonance Bavaria (MRB), Wuerzburg, Germany; 2Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; 3Radiology, University Hospitals, Cleveland, OH, United States; 4Dept. for Neuroimaging, University Hospital, Tuebingen, Germany; 5Max Planck Institute for Biological Cybernetics, Tuebingen, Germany; 6Biophysics, University of Wuerzburg, Wuerzburg, Germany
One important requirement of Compressed Sensing is incoherent k-space sampling. This cannot be easily achieved for 2D imaging due to trajectory restrictions. We propose a new sampling scheme using radial projections covering the full square-shaped k-space in combination with blipped gradients of varying amplitude, frequency and phase shift. To show the applicability of the new sampling scheme, highly undersampled in vivo cardiac data has been acquired along the Mot trajectory using a TrueFISP sequence and reconstructed using a combination of through-time non-Cartesian GRAPPA and Compressed Sensing.