A multiprocessor decoupled system for the simulation of temporal bone surgery

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

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

A training system for simulating temporal bone surgery is presented. The system is based on patient-specific volumetric object models derived from 3D CT andMR 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.

Original languageEnglish (US)
Pages (from-to)35-43
Number of pages9
JournalComputing and Visualization in Science
Volume5
Issue number1
DOIs
StatePublished - Jan 1 2002

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Software
  • Modeling and Simulation
  • Engineering(all)
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics

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