Development of a computer-aided training system for pedicle screw implantation

Jing-Jing Fang, Chyun-Yu Yang, Ruey Mo Lin

Research output: Contribution to journalArticlepeer-review

Abstract

In this research, we developed an intelligent, computer-assisted training system for pedicle screw implantation in spinal surgery. Base on the biplane X-ray imaging of a pre-drilled saw bone of lumbosacral spine, spatial coordinate correlations between the physical saw bone and the 3D digitizer built an off-line training environment. A senior spine surgeon prepares the pre-drilled position as a standard and the trainee uses the 3D digitizer to approach the referential standard. The techniques developed in this system involve X-ray imaging rectification, registration, image processing, imaging dilation and erosion, bi-plane calibration, and spatial geometric transformation, which will be a pioneer study of further clinical applications. The position accuracy of the guiding system is within 1 mm, and angular accuracy is within 1.5°, which may meet the basic surgical requirements for lumbosacral spine. Eventually, the developed training device was applied to several orthopedics surgeons to collect and analyze the angulation test results.

Original languageEnglish
Pages (from-to)323-329
Number of pages7
JournalBiomedical Engineering - Applications, Basis and Communications
Volume19
Issue number5
DOIs
Publication statusPublished - 2007 Jan 1

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Bioengineering
  • Biomedical Engineering

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