Dental identification system based on unwrapped CT images

Sirilawan Tohnak; Andrew Mehnert; Michael Mahoney; Stuart Crozier

doi:10.1109/IEMBS.2009.5332483

Dental identification system based on unwrapped CT images

Sirilawan Tohnak, Andrew Mehnert, Michael Mahoney, Stuart Crozier

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

8 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publication	Engineering the Future of Biomedicine, EMBC 2009
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	3549-3552
Number of pages	4
ISBN (Print)	9781424432967
DOIs	https://doi.org/10.1109/IEMBS.2009.5332483
Publication status	Published - 1 Jan 2009
Externally published	Yes
Event	2009 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine (EMBC) - Minneapolis, MN, United States Duration: 2 Sept 2009 → 6 Sept 2009

Conference

Conference	2009 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine (EMBC)
Abbreviated title	EMBC 2009
Country/Territory	United States
City	Minneapolis, MN
Period	2/09/09 → 6/09/09

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10.1109/IEMBS.2009.5332483

Cite this

Tohnak, S., Mehnert, A., Mahoney, M., & Crozier, S. (2009). Dental identification system based on unwrapped CT images. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 3549-3552). Article 5332483 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IEMBS.2009.5332483

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title = "Dental identification system based on unwrapped CT images",

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.",

author = "Sirilawan Tohnak and Andrew Mehnert and Michael Mahoney and Stuart Crozier",

year = "2009",

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doi = "10.1109/IEMBS.2009.5332483",

language = "English",

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pages = "3549--3552",

booktitle = "Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2009 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine (EMBC), EMBC 2009 ; Conference date: 02-09-2009 Through 06-09-2009",

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Tohnak, S, Mehnert, A, Mahoney, M & Crozier, S 2009, Dental identification system based on unwrapped CT images. in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009., 5332483, IEEE, Institute of Electrical and Electronics Engineers, pp. 3549-3552, 2009 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine (EMBC), Minneapolis, MN, United States, 2/09/09. https://doi.org/10.1109/IEMBS.2009.5332483

Dental identification system based on unwrapped CT images. / Tohnak, Sirilawan; Mehnert, Andrew; Mahoney, Michael et al.
Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. IEEE, Institute of Electrical and Electronics Engineers, 2009. p. 3549-3552 5332483.

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

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AB - 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.

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Tohnak S, Mehnert A, Mahoney M, Crozier S. Dental identification system based on unwrapped CT images. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. IEEE, Institute of Electrical and Electronics Engineers. 2009. p. 3549-3552. 5332483 doi: 10.1109/IEMBS.2009.5332483

Dental identification system based on unwrapped CT images

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