Moët: Multiple oscillating ëfficient trajectories

Neumann, D; Seiberlich, N; Breuer, FA; Lee, G; Ehses, P; Duerk, JL; Jakob, PM; Griswold, MA

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Moët: Multiple oscillating ëfficient trajectories

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Ehses, P
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Neumann, D., Seiberlich, N., Breuer, F., Lee, G., Ehses, P., Duerk, J., et al. (2012). Moët: Multiple oscillating ëfficient trajectories. Poster presented at 20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2012), Melbourne, Australia.

Cite as: https://hdl.handle.net/21.11116/0000-0001-A5E7-0

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.