GrOpt Toolbox

A toolbox for MRI gradient optimization (GrOpt)

About

The toolbox allows for gradient waveforms to be designed that better utilize available gradient hardware performance, while allowing for additional constraints to be flexibly added to control for a range of desired performances. Additionally, the optimization has been fine-tuned to operate in real-time, allowing for flexible implementation on vendor-agnostic scanner hardware for on-the-fly usage.

Installation

The optimization is written in C and can be found in the src/ directory.

A very basic idea of how to compile for C is included in src/make.txt, however modifications would need to made for input and output as it only runs a test case when run in C. For easier usage use one of the wrappers:

Python

The setup.py file will build the python module. To build you can run python setup.py build_ext --inplace.

For MacOS you may need to change the compiler being used, in the first few lines of setup.py. It is hard coded to use a homebrew install of gcc, however any compiler command should work here.

Matlab

See make.m for an example compile

More

An example use case is shown in python/demo_v1.ipynb which github will render for you in the browser if you click on it.