Magnetic Resonance Imaging (MRI) is one of the most versatile imaging modalities in biomedical imaging and
has become an indispensable tool in neuro-science, clinical and pre-clinical research, and clinical practice. Advances in numerical image reconstruction that leverage the massive growth in computation power have enabled
the development of advanced MRI applications which were not previously possible, but the complexity renders
many published studies difficult to reproduce and translate to practice. This work aims to provide a software
framework for implementing new techniques in a reproducible and shareable format while providing interoperability with existing tools used by the MRI research community, with the goal of enabling clinical translation.