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Image Guidance and Surgery Simulation Using Inverse Nonlinear Finite Element Methods

  • Philip Pratt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5104)

Abstract

Nonlinear finite element methods are described in which cyclic organ motion is implied from 4D scan data. The equations of motion corresponding to an explicit integration of the total Lagrangian formulation are reversed, such that the sequence of node forces which produces known changes in displacement is recovered. The forces are resolved from the global coordinate system into systems local to each element, and at every simulation time step are expressed as weighted sums of edge vectors. In the presence of large deformations and rotations, this facilitates the combination of external forces, such as tool-tissue interactions, and also positional constraints. Applications in the areas of surgery simulation and minimally invasive robotic interventions are proposed, and the methods are illustrated using CT images of a pneumatically-operated beating heart phantom.

Keywords

Image Guidance Global Coordinate System Node Force Surgery Simulation Simulation Time Step 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Philip Pratt
    • 1
  1. 1.Institute of Biomedical EngineeringImperial College of Science, Technology and MedicineLondonUnited Kingdom

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