Purpose: To introduce a multiplatform, Python language-based, development environment called graphical programming interface for prototyping MRI techniques.
Methods: The interface allows developers to interact with their scientific algorithm prototypes visually in an event-driven environment making tasks such as parameterization, algorithm testing, data manipulation, and visualization an integrated part of the work-flow. Algorithm developers extend the built-in functionality through simple code interfaces designed to facilitate rapid implementation.
Results: This article shows several examples of algorithms developed in graphical programming interface including the non-Cartesian MR reconstruction algorithms for PROPELLER and spiral as well as spin simulation and trajectory visualization of a FLORET example.
Conclusion: The graphical programming interface framework is shown to be a versatile prototyping environment for developing numeric algorithms used in the latest MR techniques.
Keywords: graphical programming; reconstruction; spin simulation.
© 2014 Wiley Periodicals, Inc.