Examples

End-to-end examples demonstrating PyGROG’s API for non-Cartesian MRI reconstruction using GROG-accelerated sparse FFT operators.

Basic Usage: mri-nufft Baseline vs PyGROG

Basic Usage: mri-nufft Baseline vs PyGROG

Batched and Stacked Reconstructions with PyGROG

Batched and Stacked Reconstructions with PyGROG

Gadgets with mri-nufft Data: Subspace and B0 ORC

Gadgets with mri-nufft Data: Subspace and B0 ORC

Utils Tour: Coil Compression and NLINV

Utils Tour: Coil Compression and NLINV

Iterative Solve: CG, LSMR, and Polynomial Preconditioning

Iterative Solve: CG, LSMR, and Polynomial Preconditioning

Toeplitz-Embedded Self-Adjoint A^H A for SparseFFT Gadgets

Toeplitz-Embedded Self-Adjoint A^H A for SparseFFT Gadgets

End-to-end CS reconstruction with sigpy, deepinv and mrpro

End-to-end CS reconstruction with sigpy, deepinv and mrpro