Automatic Analysis of Lateral Cephalograms Based on Multiresolution Decision Tree Regression Voting
Joint Authors
Zhang, Yanjun
Li, Huiqi
Wang, Shumeng
Li, Jiazhi
Zou, Bingshuang
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-19
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Cephalometric analysis is a standard tool for assessment and prediction of craniofacial growth, orthodontic diagnosis, and oral-maxillofacial treatment planning.
The aim of this study is to develop a fully automatic system of cephalometric analysis, including cephalometric landmark detection and cephalometric measurement in lateral cephalograms for malformation classification and assessment of dental growth and soft tissue profile.
First, a novel method of multiscale decision tree regression voting using SIFT-based patch features is proposed for automatic landmark detection in lateral cephalometric radiographs.
Then, some clinical measurements are calculated by using the detected landmark positions.
Finally, two databases are tested in this study: one is the benchmark database of 300 lateral cephalograms from 2015 ISBI Challenge, and the other is our own database of 165 lateral cephalograms.
Experimental results show that the performance of our proposed method is satisfactory for landmark detection and measurement analysis in lateral cephalograms.
American Psychological Association (APA)
Wang, Shumeng& Li, Huiqi& Li, Jiazhi& Zhang, Yanjun& Zou, Bingshuang. 2018. Automatic Analysis of Lateral Cephalograms Based on Multiresolution Decision Tree Regression Voting. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1186962
Modern Language Association (MLA)
Wang, Shumeng…[et al.]. Automatic Analysis of Lateral Cephalograms Based on Multiresolution Decision Tree Regression Voting. Journal of Healthcare Engineering No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1186962
American Medical Association (AMA)
Wang, Shumeng& Li, Huiqi& Li, Jiazhi& Zhang, Yanjun& Zou, Bingshuang. Automatic Analysis of Lateral Cephalograms Based on Multiresolution Decision Tree Regression Voting. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1186962
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186962