首页> 外文期刊>DentoMaxilloFacial Radiology >Accuracy of computerized automatic identification of cephalometric landmarks by a designed software
【24h】

Accuracy of computerized automatic identification of cephalometric landmarks by a designed software

机译:通过设计软件对头颅标志物进行计算机自动识别的准确性

获取原文
获取原文并翻译 | 示例
       

摘要

Objectives: The purpose of this study was to design software for localization of cephalometric landmarks and to evaluate its accuracy in finding landmarks. Methods: 40 digital cephalometric radiographs were randomly selected. 16 landmarks which were important in most cephalometric analyses were chosen to be identified. Three expert orthodontists manually identified landmarks twice. The mean of two measurements of each landmark was defined as the baseline landmark. The computer was then able to compare the automatic system's estimate of a landmark with the baseline landmark. The software was designed using Delphi and Matlab programming languages. The techniques were template matching, edge enhancement and some accessory techniques. Results: The total mean error between manually identified and automatically identified landmarks was 2.59 mm. 12.5% of landmarks had mean errors less than 1 mm. 43.75% of landmarks had mean errors less than 2 mm. The mean errors of all landmarks except the anterior nasal spine were less than 4 mm. Conclusions: This software had significant accuracy for localization of cephalometric landmarks and could be used in future applications. It seems that the accuracy obtained with the software which was developed in this study is better than previous automated systems that have used model-based and knowledge-based approaches.
机译:目的:本研究的目的是设计用于头颅测量界标定位的软件,并评估其在发现界标中的准确性。方法:随机选择40台数字化头颅X线片。选择了在大多数头颅测量分析中很重要的16个标志。三名专业的牙齿矫正专家两次手动标识了地标。将每个界标的两次测量的平均值定义为基线界标。然后,计算机能够将自动系统对地标的估计与基准地标进行比较。该软件是使用Delphi和Matlab编程语言设计的。这些技术是模板匹配,边缘增强和一些辅助技术。结果:手动识别和自动识别的界标之间的总平均误差为2.59 mm。 12.5%的界标的平均误差小于1毫米。 43.75%的界标的平均误差小于2 mm。除鼻前脊柱外,所有标志的平均误差均小于4 mm。结论:该软件对头颅标志的定位具有很高的准确性,可以在未来的应用中使用。看来,本研究开发的软件所获得的准确性要优于以前使用基于模型和基于知识的方法的自动化系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号