Marco Agus, Andrea Giachetti, Enrico Gobbetti, Gianluigi Zanetti, and Antonio Zorcolo
May 2002
Abstract
Bone dissection is an important component of many surgical procedures. We discuss a haptic 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 process. The model 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 imaging data, is efficient enough to provide real-time feedback on a low end multi processing PC platform. This research is supported by the IERAPSI project (EU-IST-1999-12175), funded under the European IST programme (Information Society Technologies).
Reference and download information
Marco Agus, Andrea Giachetti, Enrico Gobbetti, Gianluigi Zanetti, and Antonio Zorcolo. Haptic Simulation of Bone Dissection. In Abstract - SIMAI 2002 Symposium on Methods and Applications in Advanced Computational Mechanics, May 2002.
Related multimedia productions
Bibtex citation record
@InProceedings{Agus:2002:HSB, author = {Marco Agus and Andrea Giachetti and Enrico Gobbetti and Gianluigi Zanetti and Antonio Zorcolo}, title = {Haptic Simulation of Bone Dissection}, booktitle = {Abstract -- SIMAI 2002 Symposium on Methods and Applications in Advanced Computational Mechanics}, address = {Conference held in Chia, CA, Italy, May 27--31, 2002}, month = {May}, year = {2002}, abstract = { Bone dissection is an important component of many surgical procedures. We discuss a haptic 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 process. The model 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} imaging data, is efficient enough to provide real--time feedback on a low end multi processing PC platform. This research is supported by the IERAPSI project (EU-IST-1999-12175), funded under the European IST programme (Information Society Technologies).}, url = {http://vic.crs4.it/vic/cgi-bin/bib-page.cgi?id='Agus:2002:HSB'}, }
The publications listed here are included as a means to ensure timely
dissemination of scholarly and technical work on a non-commercial basis.
Copyright and all rights therein are maintained by the authors or by
other copyright holders, notwithstanding that they have offered their works
here electronically. It is understood that all persons copying this
information will adhere to the terms and constraints invoked by each
author's copyright. These works may not be reposted without the
explicit permission of the copyright holder.
Please contact the authors if you are willing to republish this work in
a book, journal, on the Web or elsewhere. Thank you in advance.
All references in the main publication page are linked to a descriptive page
providing relevant bibliographic data and, possibly, a link to
the related document. Please refer to our main
publication repository page for a
page with direct links to documents.
+39 070 9250 1
+39 070 9250 216
(Secretary) katia
crs4.it
www.crs4.it/vic/
