DocumentCode
2373849
Title
Dental identification system based on unwrapped CT images
Author
Tohnak, Sirilawan ; Mehnert, Andrew ; Mahoney, Michael ; Crozier, Stuart
Author_Institution
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
3549
Lastpage
3552
Abstract
Dental comparison of postmortem (PM) and ante-mortem (AM) radiographs provides one of the best avenues for the forensic identification of human remains. Nevertheless conventional dental comparison is labor-intensive, subjective, and has several inherent drawbacks. This paper presents a semi-automated image analysis system designed to assist the forensic dentist with the task of identifying human remains. This system overcomes the drawbacks of conventional dental comparison because it is based on the comparison of radiograph-like images reconstructed from PM computed tomography (CT) data with AM digitized conventional radiographs. The efficacy of the system is demonstrated using 4 dental CT data sets and 32 digitized bitewing radiographs obtained from routine clinical practice.
Keywords
computerised tomography; dentistry; diagnostic radiography; forensic science; image reconstruction; medical image processing; antemortem radiographs; computed tomography; dental identification system; digitized bitewing radiographs; forensic identification; postmortem radiographs; radiograph-like image reconstruction; routine clinical practice; semiautomated image analysis system design; unwrapped CT images; Algorithms; Artifacts; Automation; Diagnostic Imaging; Forensic Dentistry; Humans; Image Processing, Computer-Assisted; Metals; Pattern Recognition, Automated; Radiographic Image Interpretation, Computer-Assisted; Radiography, Panoramic; Tomography, X-Ray Computed;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5332483
Filename
5332483
Link To Document