A multiprocessor decoupled system for the simulation of temporal bone surgery
Author(s) -
Marco Agus,
Andrea Giachetti,
Enrico Gobbetti,
Gianluigi Zanetti,
Antonio Zorcolo
Publication year - 2002
Publication title -
computing and visualization in science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.519
H-Index - 44
eISSN - 1433-0369
pISSN - 1432-9360
DOI - 10.1007/s00791-002-0085-5
Subject(s) - multiprocessing , computer science , haptic technology , rendering (computer graphics) , volume rendering , visualization , parallel computing , simulation , computer graphics (images) , real time computing , artificial intelligence
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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