3  research areas are defined :

1. Assistance with awake neurosurgery for gliomas
2. Assistance in monitoring brain pathologies
3. Deterministic mathematical models and biostatistics / artificial intelligence and big data

Based on these 3 axes, the laboratory’s scientific identity is built upon the following foundations:

• Scientific expertise
  • An imaging platform enabling the massive collection of data
  • Proficiency in mathematical, numerical, and computer vision analysis tools
  • Domain/professional expertise
• “Domain” expertise
  • The brain: anatomy/geometry
  • Pathology: diagnosis and therapeutic monitoring (tumors, neurodegenerative diseases)
• Fields of innovation
  • High-field imaging, metabolic
  • Analysis based on limited data
  • Longitudinal/texture/geometry modeling

I3M :  anatomical/vascular, Metabolic, Multinuclear, Multi-organ Imaging

• Multimodal imaging platform
  • 3T and 7T ultra-high field MRI
  • Magnetic resonance spectroscopy
  • Multinuclear imaging: Phosphorus, Sodium/li>
• Application areas: Cell and organ metabolism
  • Brain tumors,
  • Neurodegenerative diseases,
  • Psychiatric illnesses,
  • Cardiovascular diseases,
  • Ischemia-reperfusion: Impact of mechanical thrombectomy
  • Renal metabolism

Scientific themes

• Mathematics and digital tools for health data
  • Modeling: Realistic metabolic models of cells and organs (slow-fast EDP systems, statistical models) in pathological processes
  • Image and sequence processing: Noise reduction, merging and registration, filtering and segmentation, texture and motion analysis
  • Mass data management (data mining)
  • Machine Learning and AI
  • Reconstruction and visualization of surfaces and volumes
  • GPU Implementation

I3M’s identity:

• 3T/7T Platform: Data Richness
• Image Post-Processing Platform : : Development of the pretreatment pipeline (Micropacs) on the university hospital platform
• Implementation of an AI orchestrator “MERLAIN” : management of all post-processing developed (AI segmentation-spectro…)
  • Reconstruction of the 3D vascular tree model from 2D scans
  • Automatic detection of thrombi within the cerebral vascular tree.
  • Reconstruction of the brain tissue network
  • Doctoral research
  • Neuropsy