Numerical Simulation for Healthcare and Wellbeing, from Cell to Virtual Patient
Cardiac electrophysiology is a complex science that studies the organization of cardiac electrical phenomena from the molecular scale up to the scale of the body. Mathematical modeling and numerical simulations are used to built experimental tools that guide our understanding of cardiac electrical dysfunction. We will show some simulations that have an impact on medical science.
We present an augmented x-ray interface that benefits from both the power of digital worlds and the simplicity of direct interaction with real objects. This new kind of interface opens promising possibilities in the scope of medical applications.
Study on animal model is the first important step in Biology and Clinical research. In this context, the analysis of the neuro-motor behaviour is a frequent cue to test the effect of a gene or a drug. Ethomice is a platform for simulation and analysis of the small laboratory animal, such as rat or mouse. This platform links the internal skeletal structure with 3D measurement of the external appearance of the animal under study. From a stream of multiple views video, the platform aims at delivering a three dimensional analysis of the body posture and the behaviour of the animal.
The MyCF software eases the creation of 3D anatomical models for visualization and mechanical simulation. As input, the user provides a list of anatomical entities or functions to simulate, using keywords or navigating in reference 3D model. As output, she gets a 3D model ready to visualize, or to simulate using the SOFA open-sourcesimulation library. The model can be based on a reference geometry, or on the assembly of patient-specific models provided by the user.
Presentation of SAMSON (Software for Adaptive Modeling and Simulation Of Nanosystems). SAMSON is a software platform for modeling and simulating nanosystems, either natural or artificial. SAMSON integrates algorithms developed by the NANO-D team at INRIA and its collaborators. The specificity of SAMSON consists in the integration of simulation methods during the modeling phase: adaptive, interactive simulation algorithms provide immediate feedback on the impact of modeling choices.
We show a preliminary result of the SHIVA interreg IVA-2 seas project (http://www.shiva-project.eu/ ), that provides user with the possibility to create geometry. The system is based on elementary geometry elements, that can be combined using flexible interaction. SHIVA project targets rehabilitation of brain vascular accident, and impaired children. The application that is demonstrated can be used by teacher/doctors to set up exercices that demand both cognition and gesture effort, either for education, rehabilitation, or creativity expression.
We present a simulation of respiratory motions based on anatomical and physiological studies. The aim of such models is to train surgeons during thoracic procedures or during treatment planning. The method to set up the model parameters is an ad-hoc evolutionary algorithm that is able to successfully explore a search space with 15 dimensions. Our method is fully automatic and auto-adaptive.
Combining Brain-Computer Interfaces and Medical Simulators: Detecting Mental Workload to Adapt Medical Simulator Assistance
In this work we introduce the combined use of Brain-Computer Interfaces (BCI) and Medical Simulators. We propose to adapt medical simulator guides based on the mental activity measured by a BCI system. The aim of this system is to provide visual and haptic assistance only when the user’s brain activity reflects a high mental workload. This work paves the way to novel passive BCI applications such as medical training simulators based on passive BCI and “smart guides”.
Single-cell-based modeling of tissue organization: liver regeneration and early tumor genesis. We present a mathematical model for liver regeneration after drug induced damage, partial hepatectomy, and early tumor development. Our group has developed a process chain composed of imaging, image analysis and agent-based modeling which we use to parameterize our models and compare the simulation results obtained with this model to experimental data. The mathematical model is used to guide the experimental strategy towards the most promising experiments thereby helping to economize resources.
- L'analyse d'images
- Modélisation multi-agents
- L'organisation des tissus
- La régénération de foie
- La croissance tumorale
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