首页 | 本学科首页   官方微博 | 高级检索  
     


Accuracy of computerized automatic identification of cephalometric landmarks by a designed software
Authors:S Shahidi  M Oshagh  F Gozin  P Salehi  S M Danaei
Affiliation:1.Shiraz Biomedical Research Center, Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Shiraz University of Medical Sciences, Shiraz, Islamic Republic of Iran;2.Shiraz Orthodontic Research Center, Department of Orthodontics, Faculty of Dentistry, Shiraz University of Medical Sciences, Shiraz, Islamic Republic of Iran;3.Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Shiraz University of Medical Sciences, Shiraz, Islamic Republic of Iran
Abstract:

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.
Keywords:cephalometry   automatic detection   landmarks   template matching   edge enhancement
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号