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Computer-assisted preoperative planning system with an automated registration method in prosthesis-driven oral implantology

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

Abstract

Purpose

Dentition defect including edentulism is a problem that deserves attention, which requires precise preoperative planning. The trajectories of the implants can be determined using a pre-made radiographic template, which is adopted for prosthesis-driven oral implantology. However, existing solutions for the registration between the radiographic template and the patient’s CBCT still require manual operation and cause inadequate accuracy. In this study, a pre-operative planning system for prosthesis-driven oral implantology is developed with a novel automated registration method.

Methods

Based on threshold segmentation and morphological feature filtering, the potential feature points on two sets of CBCTs are, respectively, recognized. The distance features of the point sets are used to predict the optimal solution for point pair matching, after which the automated registration is implemented. The prosthesis-driven planning can be completed according to the results of registration and multi-planar reconstruction. Then, the surgical templates can be designed and fabricated using 3D printing technology based on the planning results and finally used for intra-operative guidance during implant placement.

Results

Verification of the proposed method was conducted on three clinical cases. The mean Fiducial Registration Error of 0.13 ± 0.01mm was achieved with great efficiency. The average time was 0.15 s for the automatic registration algorithm, and 15.64 s for the whole procedure.

Conclusions

The proposed method proved to be accurate and robust. The results indicate that it can achieve higher efficiency while maintaining a low error level, which will have great potential clinical applications in the future.

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Acknowledgements

This work was supported by grants from the National Natural Science Foundation of China (82330063; 81971709; M-0019; 82011530141), the Foundation of Science and Technology Commission of Shanghai Municipality (20490740700), Shanghai Jiao Tong University Foundation on Medical and Technological Joint Science Research (YG2021ZD21; YG2021QN72; YG2022QN056;YG2023ZD19; YG2023ZD15), the Funding of Xiamen Science and Technology Bureau (3502Z20221012), and SJTU Global Strategic Partnership Fund (2023 SJTU-CORNELL).

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Author notes

  1. Yueang Liu and Mingjun Gong contributed equally to the present study.

Authors and Affiliations

  1. School of Mechanical Engineering, Shanghai Jiao Tong University, Room 925, Dongchuan Road 800, Minhang District, Shanghai, China

    Yueang Liu, Mingjun Gong & Xiaojun Chen

  2. Department of Second Dental Center, Shanghai Ninth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 280 Mohe Road, Baoshan District, Shanghai, 201999, China

    Baoxin Tao & Yiqun Wu

  3. Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China

    Xiaojun Chen

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  1. Yueang Liu
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  2. Mingjun Gong
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  3. Baoxin Tao
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  4. Yiqun Wu
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Corresponding authors

Correspondence to Yiqun Wu or Xiaojun Chen.

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The authors declare that they have no conflict of interest.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Ethical approval number: SH9H-2023-T83-1.

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Cite this article

Liu, Y., Gong, M., Tao, B. et al. Computer-assisted preoperative planning system with an automated registration method in prosthesis-driven oral implantology. Int J CARS 19, 469–480 (2024). https://doi.org/10.1007/s11548-023-03033-7

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  • DOI: https://doi.org/10.1007/s11548-023-03033-7

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