v0.5.0

Release with docs

v0.4.0

• Added B0 correction
• Added WeightedSparseThreshold
• Added Cartesian 2D online MRI reconstruction

Release 0.3.0

This release has some major bug fixes, some performance updates for FFT class, and added OSCAR scale-based regularization.

#118 Refactor and remove unwanted imports in CircleCI
#111 Fix FFT class, move to scipy.fft to better handle multi-process. Also fix the grid-search
#113 Fix the normalize_frequency_locations code to work well with given KMax
#114 Add oscar regularization based on scale

Release 0.2.2

We have the following new features:

• Support for gpuNUFFT library : We can now get much faster reconstructions (In about 1.5 Hours for full 3D reconstruction for 44 channels)
• Support for density compensators estimation: This preconditions the k-space and drives towards faster convergence (Nearly 10-15min for the same reconstruction as above, with better performance)
• Reconstructors API for easy modeling of MR Image
• Iterative solvers like POGM, FISTA and condat-vu with support for metrics and cost functions to analyze convergence

Overall to use this, all you need to do is:
pip install python-pysap
If you have GPU with CUDA, you can use pip install gpuNUFFT for speed!

Release 0.1.1

v0.1.1

Release 0.1.1