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Bone registration method for robot assisted surgery: pedicle screw insertion

K Abdel-Malek1, D P McGowan, V K Goel

  • 1Department of Mechanical Engineering, University of Iowa, USA.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
|January 1, 1997
PubMed
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This study introduces a novel registration method for robotic surgery, enhancing precision in orthopedic procedures like pedicle screw insertion for spine fixation. The technique accurately maps bone geometry to robotic arms for improved surgical planning and execution.

Area of Science:

  • Orthopedic Surgery
  • Robotics in Medicine
  • Medical Imaging

Background:

  • Accurate bone geometry identification is crucial for orthopedic internal fixation procedures.
  • Current methods may lack the precision required for complex surgeries like spine fixation.
  • Robotic assistance offers potential for enhanced accuracy and safety in orthopedic interventions.

Purpose of the Study:

  • To present a novel registration method for identifying bone geometry relative to a robotic manipulator arm.
  • To demonstrate the method's application in pedicle screw insertion for spine fixation.
  • To enable precise preoperative planning and intra-operative guidance in orthopedic surgery.

Main Methods:

  • Acquiring vertebral body impressions and performing computerized tomography (CT) scans.

Related Experiment Videos

  • Reconstructing 3D models using a computer-aided engineering (CAE) system for preoperative planning.
  • Meshing 3D models to align surgical plans with intra-operative robotic arm positioning via a mechanical fixture.
  • Main Results:

    • The method allows for detailed preoperative planning, including screw selection and trajectory.
    • Intra-operative positioning is accurately defined in space relative to the robotic system.
    • Validation was successfully performed using a five-axis manipulator arm, confirming the methodology's efficacy.

    Conclusions:

    • The presented registration method enhances the precision of robotic-assisted orthopedic procedures.
    • It facilitates accurate preoperative planning and intra-operative guidance for spine fixation.
    • This technique holds promise for improving outcomes in various internal fixation surgeries.