Rapid gridding reconstruction with a minimal oversampling ratio

By P. Beatty, D. Nishimura, John M. Pauly. IEEE Transactions on Medical Imaging, 2005

363 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

SPIRiT: Iterative Self-consistent Parallel Imaging Reconstruction from Arbitrary k-Space (2010, methodology): “( e) The ﬂat pass-band kernel was designed by modifying the numerical optimization by Beatty (21).”
Fast ℓ1-SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime (2012, methodology): “Sørensen et al. [28] describe an algorithm for obviating potentially expensive synchronization in a GPGPU implementation of Gridding.”
MODEL-BASED IMAGE RECONSTRUCTION FOR MRI (2010, methodology): “And for well sampled non-Cartesian data, the gridding method [1] with appropriate density compensation factors [2] is fast and effective.”
Using NFFT 3---A Software Library for Various Nonequispaced Fast Fourier Transforms (2009, methodology): “For a recent example within the framework of gridding see [Beatty et al. 2005].”
Prospective motion correction in brain imaging: A review (2013, methodology): “As k-space lines are rotated off the Cartesian grid, a gridding reconstruction (56) is used to resample the data.”
Undersampled radial MRI with multiple coils. Iterative image reconstruction using a total variation constraint (2007, neutral): “[14]”