GRAPPA is a popular parallel imaging reconstruction algorithm. Unfortunately there aren’t a lot of easy to use Python implementations of it or its many variants available, so I decided to release this simple package.
There are also a couple reference SENSE-like implementations that have made their way into the package. This is to be expected – a lot of later parallel imaging algorithms have hints of both GRAPPA- and SENSE-like inspirations.
pip install pygrappa
There are C/C++ extensions to be compiled, so you will need a compiler that supports either the C++11 or C++14 standard. See Installation for more instructions.
The exact API of all functions and classes, as given by the docstrings. The API documents expected types and allowed features for all functions, and all parameters available for the algorithms.
A full catalog can be found in the API Reference page.
See the Usage page. Also see the examples module. It has several scripts showing basic usage. Docstrings are also a great resource – check them out for all possible arguments and usage info.
You can run examples from the command line by calling them like this:
python -m pygrappa.examples.[example-name] # For example, if I wanted to try out TGRAPPA: python -m pygrappa.examples.basic_tgrappa