TF2.6 — OSIPI python package¶
To develop OSIPY, a community-led open source python library for quantitative perfusion MRI that replaces fragmented, in-house analysis tools with a standardized, reproducible, and accessible solution. The aim is to include all perfusion modalities (ASL, DCS, DCE, and IVIM). We will build on previous OSIPI activities, such as the code repositories from TF2.2, TF2.3 and TF2.4. The standard terminology defined in the lexicons of TF4.1 and TF4.2 will be used in the architecture and function names etc of OSIPY.
Leads¶
Ongoing projects¶
A prototype version of OSIPY is currently available in our repository. Please know that it is work in progress, so you might encounter missing features and bugs. We encourage everyone to try it out and give us feedback! On the documentation pages you can find tutorials for each modality and information on how to contribute.
In June 2026 we started a collaboration with the Netherlands eScience Center for the next three years (Grant ID NLESC.OEC.2025.112). Together we hope to turn OSIPY into a community-led software package, enabling reproducible, standardized, and straightforward analysis of perfusion MRI data. The tool will greatly reduce the barriers to perfusion MRI via easy data integration, click-and-play analysis, and automated batch processing options.
For osipy to truly serve the community, we need to hear from its potential users. What do you need from a package like this to run the analyses you care about? Whether you're a seasoned methods developer or someone who just wants reliable results, and whatever modality you work with, your input will directly shape what we build. Take the survey (10–20 minutes): Survey
A first version of osipy is already available in our github repository having a basic analysis pipeline for each of the perfusion modalities. It should be used with caution as it has not been fully validated and is far from complete. We encourage you to have a look at it and report any bugs or missing features through github issues or through direct contact with us. Similarly, a first version of a working dashboard for intuitive analysis is available. Know that this is work in progress as well, so far only the IVIM module has been implemented, but feel free to have a look and give feedback.