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引用本文:江小辉,黎万波,吴重军,刘 杰.牙齿三维模型牙龈线计算方法及应用[J].软件工程,2023,26(5):30-35.【点击复制】
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牙齿三维模型牙龈线计算方法及应用
江小辉1,黎万波1,吴重军2,刘 杰3
(1.上海理工大学机械工程学院,上海 200093;
2.东华大学机械工程学院,上海 201620;
3.上海普利生机电科技有限公司,上海 201615)
Jiangxh@usst.edu.cn; liwanbo2020@163.com; wcjunm@dhu.edu.cn; jason@prismlab.com
摘 要: 针对隐形牙套切割路径数据难以获取的问题,提出了一套从牙齿三维模型上提取牙龈线的方法。首先,利用平均曲率作为判断指标从整体牙齿模型中分离出牙龈区域部分。其次,运用特征区域细化理论框架处理牙龈区域得到牙龈线。基于该方法,结合Qt(跨平台程序开发库)实现了理论程序化和可视化界面,通过大量的模型提取实验证明了该方法的有效性。最后,将牙龈线数据应用于工业机器人实现了隐形牙套自动化切割,与人工切割实验对比,自动化切割的隐形牙套质量稳定,形状更接近牙龈轮廓,符合加工要求,并且切割效率提升了50%,说明该牙龈线提取方法具有可行性和高效性。
关键词: 隐形牙套;牙齿模型;平均曲率;自动化;工业机器人
中图分类号: TP29    文献标识码: A
基金项目: 上海市自然科学基金项目(20ZR1438000).
Calculation Method and Application of Gingival Line for 3D Dental Model
JIANG Xiaohui1, LI Wanbo1, WU Chongjun2, LIU Jie3
( 1. School of Mechanical Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China ;
2. School of Mechanical Engineering, Donghua University, Shanghai 201620, China ;
3. Prismlab China Ltd., Shanghai 201615, China )
Jiangxh@usst.edu.cn; liwanbo2020@163.com; wcjunm@dhu.edu.cn; jason@prismlab.com
Abstract: Aiming at the difficulty in obtaining the cutting path data of invisible braces, this paper proposes a set of methods for extracting gingival line from 3D dental model. Firstly, the gingival area is separated from the overall dental model with the mean curvature being a judgment indicator. Secondly, the theoretical framework of feature area refinement is used to process the gingival area to obtain the gingival line. Based on this method, the theoretical programming and visual interface are realized in combination with Qt (a cross-platform program development library). The effectiveness of this method is proved by a large number of model extraction experiments. Finally, gingival line data is applied to industrial robots to achieve automatic cutting of the invisible braces. Compared with manual cutting experiments, the invisible braces of automatic cutting is stable in quality, and the shape is closer to the gingival contour, which meets the processing requirements. The cutting efficiency has increased by 50%, proving the feasibility and efficiency of the proposed gingival line extraction method.
Keywords: invisible braces; dental model; mean curvature; automation; industrial robot


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