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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