INDI: open-source software for processing cardiac diffusion tensor imaging data

Motivation: Interest in in-vivo cardiac diffusion is rapidly growing within the cardiac MRI community, highlighted by the launch of a large multi-center study. At present, however, there is no standard software for cardiac diffusion post-processing. Goal(s): To provide an open-source tool to process in-vivo cardiac diffusion tensor data; to power the current and future multi-center studies; and to contribute to standardization across the community. Approach: A publicly available repository was created with a Python codebase, documentation and video tutorials: https://github.com/ImperialCollegeLondon/INDI. Results: A modular workflow has been developed and currently supports both spin-echo and STEAM sequences. Impact: INDI provides an open-source tool, promoting standardization and dissemination of cardiac diffusion processing tools to new research groups. It will support a large multi-center study including non-specialist centers and enable translation to widespread clinical adoption.