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ANR Partners’ Medimax Project Wins Bull-Joseph Fourier First Prize

The Medimax project has made use of supercomputing and modelling to speed up and enhance the way we visualise strokes. The two teams behind the project received this year’s Bull-Joseph Fourier First Prize, dedicated to accelerating the development of computer simulation.

Médimax was awarded a grant under the 2013 edition of the "Numerical Models” programme, which set out to leverage Maxwell’s equations in order to cut down on costs associated with medical imaging. The advances made by Medimax boast strong applications for treating strokes, a medical condition responsible for 120,000 deaths per year in France alone.

Stroke type determined in under 15 minutes

Thanks to research on high-performance computing and modelling performed by two scientific teams headed up by Frédéric Nataf, Victoria Dolean, Frédéric Hecht, Pierre Jolivet and Pierre-Henri Tournier, doctors will now have access to extremely high-speed, enhanced-quality imaging.

Diagnostics and patient care greatly stand to gain. Physicians will be informed near instanteously whether patients are experiencing a clot or poor blood flow. 

Instead of the usual scanners, Medimax technology works using an electromagnetic helmet, performing a job which used to take between one and two hours in just a few minutes.  

About the Bull-Joseph Fourier Prize

Since 2009, the Bull-Joseph Fourier Prize has recognised the accomplishments of research, academic and industrial teams in the fields of numerical simulation and high-performance computing in France. The prize is named after mathematician Joseph Fourier, whose work in the 18th century led to great advances in the mathematical modelling of physical phenomena. The award ceremony was held on 12 April in Paris.

MEDIMAX - Numerical Solutions of Maxwell Equations for a Full Medical Imaging System

An ANR-funded project under the programme "Numerical Models", Medimax brings together teams from Inria, the Laboratory of Electronics, Antennas and Telecommunications (University of Nice-Sophia Antipolis, CNRS UMR 7248), the Laboratory of Applied Mathematics (Paris Descartes, CNRS UMR 8145) as well as Laboratoire J.A. Dieudonné (University of Nice-Sophia Antipolis, CNRS UMR 7351). The project has benefitted from an ANR grant worth €518 k.

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25.07.16