A posteriori error-driven adaptive FEM

Project Description

This work results from a collaboration between the Mimesis team and the Legato team (University Luxembourg). This video presents the first real-time a posteriori error-driven adaptive finite element approach for real-time simulation and to demonstrate the method on a needle insertion problem. The methods is based on a corotational elasticity and a frictional needle/tissue interaction model.

The refinement strategy relies upon a hexahedron-based finite element method, combined with a posteriori error estimation driven local h-refinement, for simulating soft tissue deformation. The local and global error level are controlled in the mechanical fields (e.g. displacement or stresses) during the simulation. The method is illustrated with a percutaneous procedure involving needle insertion in a liver. This work provides a first step to discriminate between discretization error and modeling error by providing a robust quantification of discretization error during simulations.

Project Details

  • Date 30 May 2017
  • Tags Haptics, Mechanics, Medical simulation
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