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Automatic preparation, calibration, and simulation of deformable objects.

Dan Morris1, Kenneth Salisbury

  • 1Computer Science Department, Stanford University Robotics Lab, Stanford, CA, USA. dmorris@cs.stanford.edu

Computer Methods in Biomechanics and Biomedical Engineering
|June 24, 2008
PubMed
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This study presents an automated pipeline for preparing deformable objects for interactive simulation, crucial for medical applications. It enables rapid, hands-off mesh generation, calibration, and skinning of complex models.

Area of Science:

  • Computational mechanics
  • Computer graphics
  • Medical simulation

Background:

  • Interactive simulation of deformable objects is essential for fields like medical training.
  • Current methods often require manual model preparation, hindering rapid deployment.
  • Real-time deformation requires accurate material properties and efficient mesh handling.

Purpose of the Study:

  • To develop an automated pipeline for rapid preparation of deformable objects for interactive simulation.
  • To eliminate manual intervention in mesh generation, model calibration, and skinning.
  • To facilitate the use of patient-specific data in medical simulations.

Main Methods:

  • Automated mesh generation from surface models.
  • Automated calibration of object models to finite element analysis (FEA) reference data.

Related Experiment Videos

  • Novel approach for calibrating non-homogeneous objects and automated skinning for interactive simulation.

    • Main Results:

    • Successful implementation of a fully automated pipeline for deformable object preparation.
    • Demonstrated reduction in complexity for calibrating non-homogeneous material properties.
    • Generated meshes suitable for interactive simulation rates.

    Conclusions:

    • The proposed pipeline enables rapid, automated preparation of deformable objects for interactive simulation.
    • This approach significantly reduces the bottleneck of manual model preparation in simulation workflows.
    • Facilitates the creation of more realistic and responsive simulations, particularly in medical contexts.