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Automated dental implantation using image-guided robotics: registration results

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

One of the most important factors affecting the outcome of dental implantation is the accurate insertion of the implant into the patient’s jaw bone, which requires a high degree of anatomical accuracy. With the accuracy and stability of robots, image-guided robotics is expected to provide more reliable and successful outcomes for dental implantation. Here, we proposed the use of a robot for drilling the implant site in preparation for the insertion of the implant.

Methods

An image-guided robotic system for automated dental implantation is described in this paper. Patient-specific 3D models are reconstructed from preoperative Cone-beam CT images, and implantation planning is performed with these virtual models. A two-step registration procedure is applied to transform the preoperative plan of the implant insertion into intra-operative operations of the robot with the help of a Coordinate Measurement Machine (CMM). Experiments are carried out with a phantom that is generated from the patient-specific 3D model. Fiducial Registration Error (FRE) and Target Registration Error (TRE) values are calculated to evaluate the accuracy of the registration procedure.

Results

FRE values are less than 0.30 mm. Final TRE values after the two-step registration are 1.42 ± 0.70 mm (N = 5).

Conclusions

The registration results of an automated dental implantation system using image-guided robotics are reported in this paper. Phantom experiments show that the practice of robot in the dental implantation is feasible and the system accuracy is comparable to other similar systems for dental implantation.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, 23529, USA

    Xiaoyan Sun & Jiang Li

  2. Department of Modeling, Simulation and Visualization Engineering, Old Dominion University, Norfolk, VA, 23529, USA

    Frederic D. McKenzie

  3. Department of Mechanical Engineering, Old Dominion University, Norfolk, VA, 23529, USA

    Sebastian Bawab, Yongki Yoon & Jen-K Huang

Authors
  1. Xiaoyan Sun
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  2. Frederic D. McKenzie
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  3. Sebastian Bawab
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  4. Jiang Li
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  5. Yongki Yoon
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  6. Jen-K Huang
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Corresponding author

Correspondence to Xiaoyan Sun.

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Sun, X., McKenzie, F.D., Bawab, S. et al. Automated dental implantation using image-guided robotics: registration results. Int J CARS 6, 627–634 (2011). https://doi.org/10.1007/s11548-010-0543-3

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  • DOI: https://doi.org/10.1007/s11548-010-0543-3

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