Design and Implementation of 2D Image-Based Implant Placement Guide System 


Vol. 13,  No. 10, pp. 568-573, Oct.  2024
https://doi.org/10.3745/TKIPS.2024.13.10.568


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  Abstract

decision and visual obstructions caused by various factors can lead to errors during the procedure. This paper proposes a 2D image-based real-time implant placement guiding system that predicts the implant position using 2D surgical video without the need for preoperative oral scans or 3D model generation. In the initial phase of the surgical video, two segmentation models are employed to measure prior statistics of the occlusal and incisal surfaces for each tooth. Subsequently, a single segmentation model is used to separate the occlusal and incisal surfaces, and the implant placement is predicted and guided based on the axis and length of adjacent teeth as well as the center of the prosthesis to be implanted. The system was designed and implemented using a dental phantom model, which replicates the oral structure of an actual human. The algorithm’s average execution time for guiding implant placement on 10 images was measured to be 12.14 ms, demonstrating its feasibility for real-time application in surgical video.

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[IEEE Style]

M. Kang, J. Shin, S. Lee, S. Yoon, J. Jung, "Design and Implementation of 2D Image-Based Implant Placement Guide System," The Transactions of the Korea Information Processing Society, vol. 13, no. 10, pp. 568-573, 2024. DOI: https://doi.org/10.3745/TKIPS.2024.13.10.568.

[ACM Style]

Minwoo Kang, Jiwoo Shin, Seongmin Lee, Soungjun Yoon, and Jinman Jung. 2024. Design and Implementation of 2D Image-Based Implant Placement Guide System. The Transactions of the Korea Information Processing Society, 13, 10, (2024), 568-573. DOI: https://doi.org/10.3745/TKIPS.2024.13.10.568.

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