RE4 – Multimodal Imaging Processing and Analysis

Research centers :

LaTIM, CREATIS, IPHC-ImaBio, LTSI, ICUBE, CERMEP, CEA SHFJ, Visages, GIN, LaBRI, INCIA, CRMBM, CPPM, CRNL, Télécom ParisTech

Multimodal imaging is playing an increasingly important role in diagnosis and therapeutic follow-up. This is made possible in part by image processing. Firstly, image processing ensures both quantitative and qualitative accuracy of the data acquired, and consequently of the various parameters extracted from the reconstructed images. Secondly, image processing enables subsequent exploitation of the parameters derived from the images, and facilitates the development of the anatomical and physiological models needed to understand pathological mechanisms. Finally, by combining these models with mutlimodal images and biological data, we can establish a unique signature for each patient, facilitating the development of personalized medicine.

In order to coordinate scientific work in clinical and pre-clinical image processing at a national level, the ER4 has set up 5 sub-groups:

WP4.1 : Reconstruction of mutlidimensional images

• Parametric modeling, model selection and regularization techniques

• Incorporation of motion models in reconstruction phases

WP4.2: Multimodal image processing

• Precise determination, extraction and exploration of image-derived parameters

• development of deformable space-time fusion models, organ reconstruction and patient personalization

WP4.3: Databases, data mining, knowledge modeling

• Development of methodologies for database construction (interoperability and management of data heterogeneity), individual patient characterization, automatic classification,

• development of methods for creating atlases of pathology models and their mechanisms

WP4.4 : Numerical simulations

• Construction of clinically realistic simulation databases (pathology models and their mechanisms, intra-patient anatomical and functional variability, etc.).

WP4.5 : Signal processing in MEG / EEG

• Modeling the functional connectivity of the brain network,

• development of multimodal MEG/EEG,

• development of new research and clinical applications of real-time electrophysiology,

• development of methods to avoid, correct and eliminate artifacts,

• development of methods for MEG-based reconstruction,

• implementation and validation of protocols to meet ISO 9001 standards