In this tutorial, you will learn how to use SigPy for MRI reconstruction.
There are three parts of the tutorial:
- Gridding Reconstruction: This notebook goes through basic features of SigPy using the gridding reconstruction as an example usage.
- Parallel Imaging Compressed Sensing Reconstruction: This notebook shows how to run Apps in SigPy to perform parallel imaging compressed sensing reconstructions.
- 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.