The tool takes input information including: 🟢 Field strength 🟢 Scanner model 🟢 Country in which data was collected 🟢 Year of data collection 🟢 Sample size From this, it generates an environmental impact statement which can be popped into a grant application or journal paper

A caveat, we’ve taken energy consumption metrics from specifications provided by scanner manufacturers. The numbers generated as output seem to be a pretty big underestimation of the impact we’d expect from fMRI research scanning. The numbers are probably more relevant to clinical scanning…

So, a CALL TO ACTION: Are you currently in an institution where the energy usage of various MRI sequences is already being recorded? Are you in a position to start doing this? Please get in touch! We’d love to source some more representative input data and understand which factors matter most

A massive thank you to the team who actually did the hard work of putting this together: MONIKA UTROSA CLÉMENTINE LÉVY-FIDEL FÁBIO LOBATO GABRIEL PIŠVEJC Everything we developed is available open source on GitHub: github.com/NickESouter/...