The ultra-high magnetic resonance (3T-7T) MRI platform is managed by Pr Rémy Guillevin. It is located on the Milétrie site of Poitiers University Hospital. This center of clinical and research imaging is fully integrated to the hospital structure.

Physicists, mathematicians, neuroscientists and physicians work in this platform. Their main research topics are the developement of realistic and statistical mathematics patterns that integrate NMR data. They generate algorithms in order to provide a predictive personalized medicine.


Any clinical team or any project that needs imaging is welcome to the platform.

We are currently working on several pathologies:  tumorous pathologies, degenerative, inflammatory pathologies of the central or peripheral nervous system, musculoskeletal inflammatory pathologies, and the virtual exploration of the renal metabolism.

We use the multicore imaging (1H-31P,24Na, 13C) to measure numerous in vivo metabolites.

The 3T MRI is connected to a neurosurgical operating room (ISO V) to make intraoperative controls over the patient, who is awake during the operation.
It is unique in France.



I3M = Imagerie Multinoyaux Multimodale Multiorgane (Multicores Multimodal Multiorgans Imaging)

When Poitiers University Hospital acquired the 7 Tesla MRI, the Joint Laboratory I3M CNRS-Entreprise, an innovative research structure, was created.

This joint research structure is the result of a partnership between 4 entities : CNRS (France’s national scientific research center), Poitiers University Hospital, Poitiers University and Siemens Healthineers.

It is the first partnership between the mathematics sciences national institute (INSMI) of the CNRS and an industrialist.

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Collective leadership
Rémy Guillevin (CHU/UP/CNRS), Christine Fernandez-Maloigne (UP/CNRS), Matthieu Lepetit-Coiffe (Siemens Healthineers)

About 20 researchers
(imaging doctors, physicists, computer scientists and mathematicians)

15 thesis or master students

The laboratory is focused on translational research in medical imaging, and uses artificial intelligence and mathematics models innovative devices.

The challenge with the research revolving around the 7T MRI is to elaborate metabolic and parametric profiles and to integrate them to mathematics models to understand the organs functioning.

The aim of this research is to allow the organ analysis without biopsy : it is the
virtual biopsy.

For the time being, the laboratory only works on the brain. With time, the research area could be extended to kidneys, liver or heart.

Data Analysis and Computation Through Imaging and Modeling-Maths Images Santé

This team is part of the Applied Mathematics Laboratory (LMA) CNRS 7348. It was created in 2019 by the Prs Rémy Guillevin and Alain Miranville.

Ses travaux de recherche portent sur l’aspect méthodologique multinoyaux et sur l’intégration des données RMN à des modèles biométaboliques réalistes ainsi que des modèles biostatistiques.

Team led by Pr Rémy Guillevin, radiologist at Poitiers University Hospital

"We use mathematics models and artificial intelligence to make medical imaging more effective and to give the doctors and each patient clear information : predictive and individualised medicine"


Images COuleur mouvemeNts rElief et Surfaces

Part of XLIM 7252 laboratory

Its research fields are the processing and modeling of multivariate signals and pictures, and the creation of artificial intelligence algorithms.

Team led by
Noël Richard and Pr Christine Fernandez

"The strength and originality of our team is based on our work on the whole "life chain" of a color and spectral image, from its acquisition to its rendering quality evaluation, through various processings."

Only industrialist owning a CE labelized ultra-high magnetic resonance equipment

Technological leader in the medical field

Produces last generation multinuclear NMR imagers

It is the first partnership between Siemens and public research teams.

"Through the installation of the 7T MRI at Poitiers University Hospital, Siemens Healthineers shows its will and capacity to support the expansion of precision medicine, the care pathways transformation and patient experience improvement in France."