RE3 research centers :
| Laboratoires | City | Hub |
| BioMaps | Orsay | Hub Paris Sud |
| C2N | Saclay | Hub Paris Sud |
| CERIMED | Marseille | Hub Marseille |
| CERMEP | Lyon | Hub Lyon |
| Bordeaux University Hospital | Bordeaux | Hub Bordeaux |
| Poitiers University Hospital | Poitiers | |
| Clinatec | Grenoble | Hub Grenoble |
| CRAN | Nancy | Hub Grand Est |
| CRCL | Lyon | Hub Lyon |
| CREATIS | Lyon | Hub Lyon |
| CRI | Paris | Hub Paris Centre |
| CRMBM | Marseille | Hub Marseille |
| CRNL | Lyon | Hub Lyon |
| FEMTO-ST | Besançon | |
| GIN | Grenoble | Hub Grenoble |
| GREMAN | Towers | |
| Tenon Hospital | Paris | Hub Paris Centre |
| IADI | Nancy | Hub Grand Est |
| Icube | Strasbourg | Hub Grand Est |
| IHU Lyric | Bordeaux | Hub Bordeaux |
| IHU Strasbourg | Strasbourg | Hub Grand Est |
| Imaging and Brain | Towers | |
| IMNC | Orsay | Hub Paris Sud |
| INCIA | Bordeaux | Hub Bordeaux |
| Langevin Institute | Paris | Hub Paris Centre |
| Pasteur Institute | Paris | Hub Paris Centre |
| IPHC | Strasbourg | Hub Grand Est |
| IRCAD | Strasbourg | Hub Grand Est |
| IRISA | Rennes | Hub Grand Ouest |
| IRIT | Toulouse | Hub Occitan |
| ISCR | Rennes | Hub Grand Ouest |
| Biochemistry laboratory | Angers | |
| LabTAU | Lyon | Hub Lyon |
| LaTIM | Brest | Hub Grand Ouest |
| LCMCP | Paris | Hub Paris Centre |
| LEM3 | Nancy | Hub Grand Est |
| LIB | Paris | Hub Paris Centre |
| LIIE | Marseille | Hub Marseille |
| LIRMM | Montpellier | Hub Occitan |
| LISE | Paris | Hub Paris Centre |
| LISSI | Vitry sur seine | |
| LMA | Marseille | Hub Marseille |
| LTSI | Rennes | Hub Grand Ouest |
| MIG-CHU Nimes | Nimes | |
| Neurospin | Gif sur Yvette | Hub Paris Sud |
| Physics for Medicine | Paris | Hub Paris Centre |
| RMSB | Bordeaux | Hub Bordeaux |
| TIMC | Grenoble | Hub Grenoble |
Medical and interventional imaging is a major challenge for better understanding, diagnosing, predicting and curing pathologies (neurological, oncological, cardiological, vascular, etc.).
Imaging-controlled interventional procedures are expanding rapidly, and could overtake surgical procedures within the next 10 years. This increase is closely linked to technological advances in fields ranging from imaging systems and image processing to interventional devices and robotic systems.
The aim of interventional radiology is to treat a variety of pathologies (tumors, vascular lesions, etc.) using so-called “minimally invasive” techniques guided by intraoperative imaging, with access via natural channels, blood vessels or the percutaneous route.
Interventional imaging is characterized by the development of intra-operative imaging techniques (in the broadest sense) to assist medical-surgical procedures, in order to improve the quality of care and shorten hospital stays.
This rapidly evolving field lies at the frontier between several medical specialties: surgery, radiology, endoscopy, radiotherapy, cardiology/neurology…
The RE3 FLI takes several approaches to this theme:
WP3.1: navigation and augmented reality
- Development of algorithms for superimposing pre-operative data on intra-operative images in a deformable, moving environment
- Development of algorithms for non-rigid fusion of patient images from different imaging modalities
- Development of robust registration algorithms for navigation applications without the need for patient markers and landmarks
- Development of models of the surgical procedure (e.g. based on large volumes of data from procedures already performed)
- Development of algorithms to recognize surgical activities in the operating room
- Development of algorithms for visual tracking and recognition of interactions between tools and anatomy
- Development of decision-support tools in the OR control tower
– new context-sensitive user interfaces
– reminders (call next patient) and alerts (anomalies)
– optimization of OR management - Development of new context-sensitive radiation protection methods that take into account the 3D layout of the room (positioning of clinicians and equipment, C-arm parameters).
- Real-time surgical guidance
- Development of real-time 3D planning and monitoring techniques for conformal therapy using physical agents (e.g. HIFU – High Intensity Focused Ultrasound)
- Monitor and integrate emerging technologies and innovations in the field of augmented reality, both for interventional scene acquisition and multimodality information fusion representation (pre- and intra-operatively).
Develop AR/IA methodologies, in particular to optimize the guidance of interventional procedures.
WP3.2: Robotic imaging and intervention systems
- Robotization of flexible endoscopes for endoluminal and transluminal operations
- Development of collaborative and semi-automated assistance modes (including visual servoing)
- Image-based visual servoing for physiological motion compensation and fine control of instrument movements
- Intraoperative medical imaging-guided robotic procedures
- Control of complex movements inaccessible to the human hand
- Expertise in robotic instrument-tissue interactions (confocal endomicroscopy, catheterization, etc.)
- Robotic retrocontrol of HIFU therapy to optimize energy deposition in target tissues based on monitoring imagery (3D scanning, 3D mechanical motion compensation)
- Needle gripping and insertion
WP3.3: Magnetic resonance imaging-guided interventions
- Modeling MRI-guided surgical procedures
- Optimization of real-time MRI sequences for instrument guidance
- Quantitative MRI for procedure monitoring (elastography, temperature, etc.)
- Development of motion compensation algorithms
- Development of MRI-compatible instruments for interventional radiology
- Fine control of robots for MRI gestures
- Real-time object tracking under MRI
WP3.4: Ultrasound-based therapies (HIFU and targeted vectorization)
- Development of HIFU systems for new clinical indications (excluding uterine fibroids)
- Development of real-time temperature monitoring systems for HIFU therapy control
- Ultrasound beam control (HIFU) for motion planning and/or compensation in therapy
- Development of intracorporeal systems for HIFU therapy of deep-seated targets
- Ultrasound biomodality: US imaging (ultrasound)/HIFU therapy
- Development of LIPUS (Low Intensity Pulsed Ultrasound) and LEUS (Low Energy Ultrasound) for new clinical indications (neurodegenerative diseases/disabilities of neurological origin, cardiac arrhythmias, drug delivery, immunotherapy, neuro/cardio-protection).
- Development of US 4D therapy (3D + real-time)
- Development of 4D planning and monitoring techniques for conformal HIFU therapy
- Development of registration/fusion techniques between medical imaging data and modeled acoustic/thermal data for HIFU therapy
WP3.5: new intraoperative and endoscopic imaging modalities
- Development of imaging modalities compatible with operating constraints for intraoperative or endoscopic monitoring of surgery
- Development of robust techniques for intraoperative or endoscopic detection of pathological conditions (e.g. cancer, margins, lymph nodes, hypoxia) or vital structures (e.g. vessels, nerves, ureters).
- Development of intraoperative or endoscopic biopsy techniques using imaging or spectroscopy
- Innovative percutaneous procedures (US / X-ray guidance)
- Endomicroscopy (Confocal, OCT…)
- Improved medical imaging (functional and/or structural contrast)
- Quantitative, multimodal and multiscale approaches
- Development of real-time tissue characteristic monitoring systems for HIFU therapy monitoring (US thermometry, US elastrography)
- Development of US 4D imaging
- Development of quantitative US imaging (QUS)
WP3.6: Image-guided radiotherapy
- Improved therapeutic targeting
- Improvement and control of dose distribution and deposition