Computational Anatomy and Simulation for Medicine
Computational Anatomy and Simulation for Medicine

The main focus of the MIMESIS team is to develop new solutions at the crossroad between imaging, robotics, medicine and computer science.  Through this work, we seek at creating a synergy between clinicians and scientists as a mean to develop new technologies that can redefine healthcare. The scientific objective of our team is to develop new approaches supporting advanced simulations in the context of simulation for training, surgical planning and computer-aided interventions. In the field of computer-based training, some pf our work on cataract surgery training has led to the creation of our start-up InSimo. We are now taking our expertise on real-time soft tissue modeling and multi-physics interactions to new applications and developments. We are investigating novel numerical methods for real-time computation such as the Smoothed FEM, Immersed Boundary Method, adaptive meshing, and using bayesian methods and computer vision techniques to provide inputs and parameter estimation to our model. The medical applications we seek include augmented reality for hepatic surgery, elastic registration for liver and brain surgery, and robotized percutaneous procedures.

Centre(s) inria
Inria centre at Université de Lorraine
In partnership with
CNRS,Université de Strasbourg


Team leader

Ouiza Herbi

Team assistant