JDR Woodhead Publishing
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Tohnak, S.
Right arrow Articles by Crozier, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Tohnak, S.
Right arrow Articles by Crozier, S.
J Dent Res 86(11):1057-1062, 2007
© 2007 International and American Associations for Dental Research


RESEARCH REPORT
Biomaterials & Bioengineering

Synthesizing Dental Radiographs for Human Identification

S. Tohnak1, A.J.H. Mehnert1,*, M. Mahoney2, and S. Crozier1

1 School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane QLD 4072, Australia; and
2 School of Dentistry, The University of Queensland, Brisbane QLD 4072, Australia

* corresponding author, mehnert{at}itee.uq.edu.au

The task of identifying human remains based on dental comparisons of post mortem (PM) and ante mortem (AM) radiographs is labor-intensive, subjective, and has several drawbacks, including: inherently poor image quality, difficulty matching the viewing angles in PM radiographs to those taken AM, and the fact that the state of the dental remains may entirely preclude the possibility of obtaining certain types of radiographs PM. The aim of the present study was to investigate the feasibility of using radiograph-like images reconstructed from PM x-ray computed tomography (CT) data to overcome the shortcomings of conventional radiographic comparison. Algorithms for computer synthesis of panoramic, periapical, and bitewing images are presented. The algorithms were evaluated with data from clinical examinations of two persons. The results demonstrate the efficacy of the CT-based approach and that, in comparison with conventional radiographs, the synthesized images exhibit minimal geometric distortion, reduced blurring, and reduced superimposition of oral structures.

KEY WORDS: computed tomography • radiograph • Radon transform • dental comparison • forensic identification







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
IADR Journals Advances in Dental Research ®
Journal of Dental Research ® Critical Reviews (1990-2004)
Copyright © 2007 Institutional Access Guidelines