种植术区CBCT影像智能测量系统的初步研发与验证

doi:10.13701/j.cnki.kqyxyj.2023.06.005

口腔医学研究 ›› 2023, Vol. 39 ›› Issue (6): 491-495.DOI: 10.13701/j.cnki.kqyxyj.2023.06.005

种植术区CBCT影像智能测量系统的初步研发与验证

马雪纯^1,2, 黄瀚霄³, 申晓靖⁴, 宁楠⁵, 柳忠豪^1,2*

1.滨州医学院口腔医学院山东烟台 264003;
2.滨州医学院附属烟台口腔医院种植科山东烟台 264000;
3.浙江大学CAD&CG国家重点实验室浙江杭州 310058;
4.青岛市市立医院口腔医疗中心山东青岛 266000;
5.杭州美齐科技有限公司浙江杭州 310000

收稿日期:2023-01-16 出版日期:2023-06-28 发布日期:2023-06-21
通讯作者: *柳忠豪,E-mail: dentlzh@163.com
作者简介:马雪纯(1997~ ),女,山东德州人,硕士在读,研究方向:口腔数字化技术应用研究。
基金资助:
烟台市领军人才创新项目(编号:2019LJRC142)

Preliminary Development and Verification of CBCT Image Intelligent Measurement System in Implant Surgery Area

MA Xuechun^1,2, HUANG Hanxiao³, SHEN Xiaojing⁴, NING Nan⁵, LIU Zhonghao^1,2*

1. School of Stomatology, Binzhou Medical University, Yantai 264003, China;
2. Department of Implant Dentistry, Binzhou Medical University Affiliated Yantai Stomatological Hospital, Yantai 264000, China;
3. State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou 310058, China;
4. Stomatology Center, Qingdao Municipal Hospital (Group), Qingdao 266000, China;
5. Hangzhou Mei Qi Technology Co., Ltd, Hangzhou 310000, China

Received:2023-01-16 Online:2023-06-28 Published:2023-06-21

摘要/Abstract

摘要： 目的:研发新型种植术区CBCT影像智能测量系统并进行验证。方法:以Qt为开发框架,使用VCG库对牙齿模型进行读取和处理,开发用于种植术区CBCT影像诊断参数测量的智能分析系统。将该系统智能测量结果与人工测量结果进行比较,评估两者之间的差异性。结果:成功研发出可由使用者选择牙位,计算机自动测量种植术区CBCT影像种植诊断参数的智能分析系统。对于各项种植诊断参数的测量,智能测量方法与人工测量方法之间均无统计学差异(P>0.05),测量结果可靠。结论:该智能测量系统参数测量结果可靠,可为种植术前规划提供参考。

关键词: 计算机辅助诊断, 三维测量, 牙种植, 医学影像, 智能识别

Abstract: Objective: To develop and validate a new intelligent measurement system for CBCT image in the implant surgery area. Methods: With Qt as the development framework, the VCG library was used to read and process the tooth model, and the intelligent analysis system for CBCT image diagnostic parameter measurement in implant surgery area was developed. The intelligent measurement results of the system were compared with the manual measurement results to evaluate the differences between them. Results: An intelligent analysis system was successfully developed to allow users to select the tooth position and automatically measure the CBCT image for diagnostic parameters in the implant surgery area. For the measurement of various implant diagnostic parameters, there was no statistical difference between the intelligent measurement method and the manual measurement method (P＞0.05), and the measurement results were reliable. Conclusion: The parameters measurement results of the intelligent measurement system are reliable, which can provide reference for preoperative planning.

Key words: computer aided diagnosis, three-dimensional measurement, dental implant, medical imaging, intelligent recognition

马雪纯, 黄瀚霄, 申晓靖, 宁楠, 柳忠豪. 种植术区CBCT影像智能测量系统的初步研发与验证[J]. 口腔医学研究, 2023, 39(6): 491-495.

MA Xuechun, HUANG Hanxiao, SHEN Xiaojing, NING Nan, LIU Zhonghao. Preliminary Development and Verification of CBCT Image Intelligent Measurement System in Implant Surgery Area[J]. Journal of Oral Science Research, 2023, 39(6): 491-495.

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种植术区CBCT影像智能测量系统的初步研发与验证

Preliminary Development and Verification of CBCT Image Intelligent Measurement System in Implant Surgery Area

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