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Cephalometric X-Ray Registration using Angular Radial Transform

Published on April 2012 by Amandeep Kaur, Chandan Singh
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International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
Foundation of Computer Science USA
IRAFIT - Number 9
April 2012
Authors: Amandeep Kaur, Chandan Singh
25ab61fa-cf84-47a2-b7a2-21c0472ddf2d

Amandeep Kaur, Chandan Singh . Cephalometric X-Ray Registration using Angular Radial Transform. International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012). IRAFIT, 9 (April 2012), 18-22.

@article{
author = { Amandeep Kaur, Chandan Singh },
title = { Cephalometric X-Ray Registration using Angular Radial Transform },
journal = { International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012) },
issue_date = { April 2012 },
volume = { IRAFIT },
number = { 9 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 18-22 },
numpages = 5,
url = { /proceedings/irafit/number9/5913-1069/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%A Amandeep Kaur
%A Chandan Singh
%T Cephalometric X-Ray Registration using Angular Radial Transform
%J International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%@ 0975-8887
%V IRAFIT
%N 9
%P 18-22
%D 2012
%I International Journal of Computer Applications
Abstract

In this paper we propose a new cephalometric x-ray registration technique based on angular radial transform (ART). The registration is used as a first step in most hybrid cephalometric landmark detection algorithms to find the approximate landmark locations which are further used to find the exact landmark locations in the test x-ray image. All the existing cephalometric algorithms use features like distance between landmarks, distance between landmarks and their centre of gravity and their angular information for x-ray registration. The results achieved by the proposed technique are significantly better in terms of error and robustness.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cephalometric Image Matching Angular Radial Transform