In this tutorial, you will learn how to use SigPy for MRI reconstruction.

There are three parts of the tutorial:

1. Gridding Reconstruction: This notebook goes through basic features of SigPy using the gridding reconstruction as an example usage.
2. Parallel Imaging Compressed Sensing Reconstruction: This notebook shows how to run Apps in SigPy to perform parallel imaging compressed sensing reconstructions.
3. Buiding a Parallel Imaging Compressed Sensing App: This notebook shows how to create an L1 wavelet regularized reconstruction App from scratch.

Some topics that are not covered in this tutorial:

• Non-Cartesian support in MRI Apps.
• MRI simulation functions, such as generating Poisson disk sampling using poisson.
• Plotting functions.
• Multi-CPU and GPUs using MPI.
• PyTorch interopability.