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Abstract:
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 Moët trajectory using a TrueFISP sequence and reconstructed using a combination of through-time non-Cartesian GRAPPA and Compressed Sensing.
