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Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
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A novel bone registration method using impression molding and structured-light 3D scanning technology.

Guangyu He1, Jacob M Ricca2, Amos Z Dai3

  • 1Department of Mechanical Engineering, Stony Brook University, Stony Brook, New York, USA.

Journal of Orthopaedic Research : Official Publication of the Orthopaedic Research Society
|February 4, 2022
PubMed
Summary
This summary is machine-generated.

A new impression molding technique improves bone registration accuracy for computer navigation and robotic surgery. This X-ray-free method offers comparable or better precision than existing systems, enhancing surgical planning.

Keywords:
bone registrationimpression materialnavigation/robotics/CAOSstructured-light 3D scanning technology

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Area of Science:

  • Orthopedic surgery
  • Medical imaging
  • Robotics

Background:

  • Accurate bone registration is essential for computer-assisted orthopedic surgery, including navigation and robotic procedures.
  • Current registration systems often face limitations such as high cost, bulkiness, reduced accuracy, and the need for intraoperative radiation.
  • Previous X-ray-free structured-light 3D scanning methods are impractical due to soft tissue and blood obstructions.

Purpose of the Study:

  • To develop and evaluate a novel bone registration technique using impression molding to overcome the limitations of existing methods.
  • To assess the accuracy and feasibility of this impression molding technique in simulated and cadaveric surgical settings.

Main Methods:

  • A novel technique employing rapid-setting impression molding to capture bone surface features.
  • The undersurface of the mold was scanned using a structured-light scanner, and its photonegative was compared to preoperative CT scans for bone registration.
  • Registration accuracy was evaluated on 36 sawbone femurs and in a cadaver experiment.

Main Results:

  • The impression molding technique achieved a registration accuracy of 0.50 ± 0.19 mm.
  • This accuracy was comparable to a direct structured-light scanning method (0.43 ± 0.18 mm, p=0.085) and superior to traditional paired-point (0.68 ± 0.14 mm, p=0.004) and intraoperative CT-based registration (0.86 ± 0.38 mm).
  • Cadaver experiments confirmed the feasibility and accuracy observed in sawbone studies.

Conclusions:

  • The impression molding method provides a practical, X-ray-free solution for bone registration in computer navigation and robotic surgery.
  • This technique demonstrates comparable or superior registration accuracy to existing methods, addressing limitations of direct structured-light scanning.
  • Further studies in human subjects are warranted, but the method shows significant potential for improving surgical accuracy and planning.