• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Landmarking of cephalograms using a microcomputer system.

作者信息

Tong W, Nugent S T, Gregson P H, Jensen G M, Fay D F

机构信息

Department of Electrical Engineering, Technical University of Nova Scotia, Halifax, Canada.

出版信息

Comput Biomed Res. 1990 Aug;23(4):358-79. doi: 10.1016/0010-4809(90)90027-a.

DOI:10.1016/0010-4809(90)90027-a
PMID:2394093
Abstract

Landmarks, or certain characteristic reference points, on cephalograms are used as a diagnostic aid employed in treatment planning by orthodontists. This work presents an algorithm for recognizing some anatomical features and locating landmarks on lateral skull X rays (cephalograms) using digital image processing and feature recognition techniques. A cephalogram is digitized and stored in a computer memory. Prefiltering is applied to remove image noise. The bony and flesh profiles of jaw and front face are traced. Using these profiles the algorithm locates 17 points on the image, some on bony features and others on soft tissue. To locate these points, edge-enhancement, thresholding, and edge-detection techniques are applied. The algorithm can be run on an IBM compatible microcomputer.

摘要

相似文献

1
Landmarking of cephalograms using a microcomputer system.
Comput Biomed Res. 1990 Aug;23(4):358-79. doi: 10.1016/0010-4809(90)90027-a.
2
Automatic landmarking of cephalograms.
Comput Biomed Res. 1989 Jun;22(3):248-69. doi: 10.1016/0010-4809(89)90005-0.
3
Knowledge-based landmarking of cephalograms.
Comput Biomed Res. 1986 Jun;19(3):282-309. doi: 10.1016/0010-4809(86)90023-6.
4
Improving cephalogram analysis through feature subimage extraction.
IEEE Eng Med Biol Mag. 1999 Jan-Feb;18(1):25-31. doi: 10.1109/51.740961.
5
Improving point correspondence in cephalograms by using a two-stage rectified point transform.通过使用两阶段校正点变换提高头颅侧位片中的点对应性。
Comput Biol Med. 2015 Oct 1;65:114-23. doi: 10.1016/j.compbiomed.2015.07.022. Epub 2015 Aug 8.
6
[Development of a computerized automatic identification system for use in cephalometry].
Zhonghua Kou Qiang Yi Xue Za Zhi. 2002 Nov;37(6):466-8.
7
Variance of landmarks in digital evaluations: comparison between CT-based and conventional digital lateral cephalometric radiographs.数字化评估中标志点的方差:基于CT的数字化侧位头影测量X线片与传统数字化侧位头影测量X线片的比较
J Orofac Orthop. 2007 Jul;68(4):290-8. doi: 10.1007/s00056-007-0710-5.
8
Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms.全自动系统用于准确定位和分析侧位头颅片中的头影测量标志点。
Sci Rep. 2016 Sep 20;6:33581. doi: 10.1038/srep33581.
9
Computer-assisted location of reference points in three dimensions for radiographic cephalometry.
Am J Orthod Dentofacial Orthop. 1989 Jun;95(6):490-8. doi: 10.1016/0889-5406(89)90412-5.
10
Automated 2-D cephalometric analysis on X-ray images by a model-based approach.基于模型的方法对X射线图像进行自动二维头影测量分析。
IEEE Trans Biomed Eng. 2006 Aug;53(8):1615-23. doi: 10.1109/TBME.2006.876638.

引用本文的文献

1
Is automatic cephalometric software using artificial intelligence better than orthodontist experts in landmark identification?基于人工智能的自动头影测量软件在标志点识别方面优于正畸专家吗?
BMC Oral Health. 2023 Jul 8;23(1):467. doi: 10.1186/s12903-023-03188-4.
2
Automatic recognition of cephalometric landmarks via multi-scale sampling strategy.通过多尺度采样策略自动识别头影测量标志点。
Heliyon. 2023 Jun 20;9(6):e17459. doi: 10.1016/j.heliyon.2023.e17459. eCollection 2023 Jun.
3
Reproducibility of linear and angular cephalometric measurements obtained by an artificial-intelligence assisted software (WebCeph) in comparison with digital software (AutoCEPH) and manual tracing method.
人工智能辅助软件(WebCeph)与数字软件(AutoCEPH)和手动描迹方法获得的线性和角度头影测量的可重复性比较。
Dental Press J Orthod. 2023 Apr 3;28(1):e2321214. doi: 10.1590/2177-6709.28.1.e2321214.oar. eCollection 2023.
4
Effectiveness of Human-Artificial Intelligence Collaboration in Cephalometric Landmark Detection.人工智能与人合作在头影测量标志点检测中的有效性
J Pers Med. 2022 Mar 3;12(3):387. doi: 10.3390/jpm12030387.