Biomechanical modeling of bone-needle interaction for haptic rendering in needle insertion simulation

J. S.K. Ong, C. K. Chui, Z. L. Wang, J. Zhang, J. C.M. Teo, C. H. Yan, S. H. Ong, C. L. Teo, S. H. Teoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Medical simulators are increasingly being used for surgical training. For interactive surgical simulation involving haptic rendering, the force at the needle tip has to be computed very fast We are developing biomechanical models for bone needle insertion. The cortical bone can be regarded as a dense form of cancellous bone that can be modeled using a linear elastic material. The porosity of the bone determines the resistance felt as the user inserts the needle into the bone. The bar element method that represents each trabecular bone as a FE beam is most computationally efficient With 1000 FE elements, the computed force feedback were close to the insertion force measured during experiments. However, the extended bar element method may be the more appropriate choice for taking into consideration the trabecular distribution and hence, inhomogeneous of bone. The simulation studies on bone-needle interaction also showed that a diamond bevel needle may penetrate the bone with less force.

Original languageEnglish (US)
Title of host publication9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
DOIs
StatePublished - 2006
Event9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 - Singapore, Singapore
Duration: Dec 5 2006Dec 8 2006

Publication series

Name9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06

Other

Other9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
Country/TerritorySingapore
CitySingapore
Period12/5/0612/8/06

Keywords

  • Bone
  • Haptics
  • Interactive modeling
  • Needle insertion

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

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