Optimal Design of Dental Positioning Tracking Bracket for Oral Implant Surgery Navigation
Lin Liu1, Miaosheng Guan1,2, Yiping Fan1, Hongchen Liu1, Hongbo Li1 & Wenyu Niu3 Show affiliations
- Department of Stomatology, The First Medical Center of PLA General Hospital, No. 28, Fuxing Road, Beijing 100853, China
- PLA Rocket Force Characteristic Medical Center, No.16 Xinjiekou outside Street, Beijing 100088, China
- School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430063, China
American Journal of Biochemistry and Biotechnology, Volume 19, Issue 1, pp. 20–29 · doi.org/10.3844/ajbbsp.2023.20.29
Abstract
The convergence of computer-aided technology and dental implant technology has shown that dynamic navigation technology can effectively improve the accuracy and reliability of clinical implant placement. To address this, a navigation system for oral implant surgery based on Mixed Reality (MR) technology has been developed. Using a standard dentition experimental model, the stability of linear and curved dental positioning and tracking brackets was studied by constructing a real-time monitoring system. The design and fixing methods of the positioning and tracking brackets were determined. The dental positioning and tracking bracket designed in this study provides a more accurate and convenient auxiliary implant bracket for implant surgery and ensures the accuracy of guided implant placement.
Licence and reuse
Open access. This article is licensed under a Creative Commons Attribution 4.0 International Licence (CC BY 4.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
How to reuse this articleResponses (0)
About this article
Liu, L., Guan, M., Fan, Y., Liu, H., Li, H. & Niu, W. (2023). Optimal Design of Dental Positioning Tracking Bracket for Oral Implant Surgery Navigation. American Journal of Biochemistry and Biotechnology, 19(1), 20–29. https://doi.org/10.3844/ajbbsp.2023.20.29
- Licence
- CC BY 4.0
- Issue
- Volume 19, Issue 1
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
