Real-time patient-specific computational models

The principal objective of this scientific challenge is the modeling of the biomechanics and physiology of organs under various stimuli. This requires describing different biophysical phenomena such as soft-tissue deformation, fluid dynamics, electrical propagation, or heat transfer. We aim at developping multi-model simulations with applications in real-time biomechanical models of liver and kidney, composite structures (e.g. vascularized organs) and combined behaviors (e.g. electro-mechanical model of the heart).

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Mixed FEM Liver

Adaptive Meshing and Advanced Simulation Techniques

Our second objective is to improve, at the numerical level, the efficiency, robustness, and quality of the simulations. To reach these goals, we will essentially rely on two main directions: adaptive meshing to allow mesh transformations during a simulation and support cuts, local remeshing or dynamic refinement in areas of interest; and numerical techniques, such as asynchronous solvers, domain decomposition and model order reduction.

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Image-driven Simulation

Image-guided simulation is a recent area of research that has the potential to bridge the gap between medical imaging and clinical routine by adapting pre-operative data to the time of the procedure. Several challenges are related to image-guided therapy but the main issue consists in aligning pre-operative images onto the patient and keep this alignment up-to-date during the procedure. As most procedures deal with soft-tissues, elastic registration techniques are necessary to perform this step.

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Academic collaborations

Industrial collaborations

Clinical collaborations