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Real-time Haptic and Visual Simulation of Bone Dissection

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

February 2002

Abstract

Bone dissection is an important component of many surgical procedures. In this paper, we discuss a haptic and visual implementation of a bone cutting burr, that it is being developed as a component of a training system for temporal bone surgery. We use a physically motivated model to describe the burr-bone interaction, that includes haptic forces evaluation, the bone erosion process and the resulting debris. The current implementation, directly operating on a voxel discretization of patient-specific 3D CT and MR imaging data, is efficient enough to provide real-time feedback on a low-end multi-processing PC platform.

Reference and download information

Marco Agus, Andrea Giachetti, Enrico Gobbetti, Gianluigi Zanetti, and Antonio Zorcolo. Real-time Haptic and Visual Simulation of Bone Dissection. In IEEE Virtual Reality Conference. Pages 209-216. IEEE Computer Society Press, February 2002.

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Bibtex citation record

@InProceedings{Agus:2002:RTH,
    author = {Marco Agus and Andrea Giachetti and Enrico Gobbetti and Gianluigi Zanetti and Antonio Zorcolo},
    title = {Real-time Haptic and Visual Simulation of Bone Dissection},
    booktitle = {IEEE Virtual Reality Conference},
    pages = {209--216},
    publisher = {IEEE Computer Society Press},
    address = {Conference held in Orlando, FL, USA, March 24--28},
    month = {February},
    year = {2002},
    abstract = { Bone dissection is an important component of many surgical procedures. In this paper, we discuss a haptic and visual implementation of a bone cutting burr, that it is being developed as a component of a training system for temporal bone surgery. We use a physically motivated model to describe the burr-bone interaction, that includes haptic forces evaluation, the bone erosion process and the resulting debris. The current implementation, directly operating on a voxel discretization of patient-specific {3D} CT and MR imaging data, is efficient enough to provide real-time feedback on a low-end multi-processing PC platform.},
    url = {http://vic.crs4.it/vic/cgi-bin/bib-page.cgi?id='Agus:2002:RTH'},
}