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Abstract #1543

Sampling pattern design for 2D compressed sensing using a multilevel variable-density spiral trajectory

Li Zhao 1 and Craig H. Meyer 1,2

1 Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2 Radiology, University of Virginia, Charlottesville, VA, United States

Compressed sensing has demonstrated notable acceleration in 3D and dynamic imaging, but it is limited by sample pattern design in 2D imaging. The flexibility of variable-density spiral trajectories gives them unique advantages for optimal sampling pattern design for 2D compressed sensing. This study demonstrates that these trajectories can be used to implement a theoretically optimal multilevel random sampling pattern. Simulations and experiments using this sampling pattern yield high acceleration rates with good fidelity with a single-channel 2D acquisition.

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