Literature DB >> 33260102

Accuracy of dental implant surgery with robotic position feedback and registration algorithm: An in-vitro study.

Kang-Jie Cheng1, Tian-Shu Kan1, Yun-Feng Liu2, Wei-Dong Zhu3, Fu-Dong Zhu4, Wei-Bin Wang1, Xian-Feng Jiang1, Xing-Tao Dong1.   

Abstract

BACKGROUND: The purpose of this study was to develop and validate a positioning method with hand-guiding and contact position feedback of robot based on a human-robot collaborative dental implant system (HRCDIS) for robotic guided dental implant surgery.
METHODS: An HRCDIS was developed based on a light-weight cooperative robot arm, UR5. A three-dimensional (3D) virtual partially edentulous mandibular bone was reconstructed using the cone bone computed tomography images. After designing the preoperative virtual implant planning using the computer software, a fixation guide worn on teeth for linking and fixing positioning marker was fabricated by 3D printing. The fixation guide with the positioning marker and a resin model mimicking the oral tissues were assembled on a head phantom. The planned implant positions were derived by the coordinate information of the positioning marker. The drilling process using the HRCDIS was conducted after mimicking the experimental set-up and planning the drilling trajectory. Deviations between actual and planned implant positions were measured and analyzed.
RESULTS: The head phantom experiments results showed that the error value of the central deviation at hex (refers to the center of the platform level of the implant) was 0.79 ± 0.17 mm, central deviation at the apex was 1.26 ± 0.27 mm, horizontal deviation at the hex was 0.61 ± 0.19 mm, horizontal deviation at the apex was 0.91 ± 0.55 mm, vertical deviation at the hex was 0.38 ± 0.17 mm, vertical deviation at the apex was 0.37 ± 0.20 mm, and angular deviation was 3.77 ± 1.57°.
CONCLUSIONS: The results from this study preliminarily validate the feasibility of the accurate navigation method of the HRCDIS.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Accurate navigation method; Cone bone computed tomography; Dental implant; Human-robot collaborative; UR5 robot

Mesh:

Substances:

Year:  2020        PMID: 33260102     DOI: 10.1016/j.compbiomed.2020.104153

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  2 in total

1.  Preliminary study on the osseointegration effects of contactless automated implant cavity preparation via femtosecond laser ablation.

Authors:  Shanshan Liang; Jianqiao Zheng; Fusong Yuan
Journal:  Biomed Opt Express       Date:  2021-12-03       Impact factor: 3.732

2.  Dental Implant Navigation System Based on Trinocular Stereo Vision.

Authors:  Songlin Bi; Menghao Wang; Jiaqi Zou; Yonggang Gu; Chao Zhai; Ming Gong
Journal:  Sensors (Basel)       Date:  2022-03-27       Impact factor: 3.576

  2 in total

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