A multiprocessor decoupled system for the simulation of temporal bone surgery

Marco Agus, Andrea Giachetti, Enrico Gobbetti, Gianluigi Zanetti, Antonio Zorcolo
Computing and Visualization in Science, Volume 5, Number 1, page 35--43 - 2002
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A training system for simulating temporal bone surgery is presented. The system is based on patient-specific volumetric object models derived from 3D CT and MR imaging data. Real-time feedback is provided to the trainees via real-time volume rendering and haptic feedback. The performance constraints dictated by the human perceptual system are met by exploiting parallelism via a decoupled simulation approach on a multi-processor PC platform. In this paper, system components are detailed and the current state of the integrated system is presented.

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BibTex references

  author       = {Agus, M. and Giachetti, A. and Gobbetti, E. and Zanetti, G. and Zorcolo, A.},
  title        = {A multiprocessor decoupled system for the simulation of temporal bone surgery},
  journal      = {Computing and Visualization in Science},
  number       = {1},
  volume       = {5},
  pages        = {35--43},
  year         = {2002},
  publisher    = {Springer-Verlag Inc},
  note         = {idxproject: IERAPSI   address: New York, NY, USA},
  keywords     = {Surgical simulation, temporal bone dissection, decoupled simulation model, hardware volume rendering, haptic feedback},
  issn         = {1432-9360},
  url          = {},

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» Marco Agus
» Andrea Giachetti
» Enrico Gobbetti
» Gianluigi Zanetti
» Antonio Zorcolo