A multiprocessor decoupled system for the simulation of temporal bone surgery
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Data
2002-07
Autori
Agus, Marco
Giachetti, Andrea
Gobbetti, Enrico
Zanetti, Gianluigi
Zorcolo, Antonio
Titolo del periodico
ISSN
Titolo del volume
Editore
Springer
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 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.
Descrizione
Keywords
surgical simulation , temporal bone dissection , decoupled simulation model , hardware volume rendering , haptic feedback