liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Ultra-high-resolution dual-source CT for forensic dental visualization - Discrimination of ceramic and composite fillings
Linköping University, Center for Medical Image Science and Visualization (CMIV).
Department of Preventive, Restorative and Paediatric Dentistry, University of Bern, 3010 Bern, Switzerland.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Faculty of Health Sciences. Linköping University, Department of Medical and Health Sciences, Radiology.
Department of Diagnostic Radiology, Lindenhofspital, Bremgartenstrasse 117, 3001 Bern, Switzerland.
Show others and affiliations
2008 (English)In: International journal of legal medicine (Print), ISSN 0937-9827, E-ISSN 1437-1596, Vol. 122, no 4, 301-307 p.Article in journal (Refereed) Published
Abstract [en]

Dental identification is the most valuable method to identify human remains in single cases with major postmortem alterations as well as in mass casualties because of its practicability and demanding reliability. Computed tomography (CT) has been investigated as a supportive tool for forensic identification and has proven to be valuable. It can also scan the dentition of a deceased within minutes. In the present study, we investigated currently used restorative materials using ultra-high-resolution dual-source CT and the extended CT scale for the purpose of a color-encoded, in scale, and artifact-free visualization in 3D volume rendering. In 122 human molars, 220 cavities with 2-, 3-, 4- and 5-mm diameter were prepared. With presently used filling materials (different composites, temporary filling materials, ceramic, and liner), these cavities were restored in six teeth for each material and cavity size (exception amalgam n=1). The teeth were CT scanned and images reconstructed using an extended CT scale. Filling materials were analyzed in terms of resulting Hounsfield units (HU) and filling size representation within the images. Varying restorative materials showed distinctively differing radiopacities allowing for CT-data-based discrimination. Particularly, ceramic and composite fillings could be differentiated. The HU values were used to generate an updated volume-rendering preset for postmortem extended CT scale data of the dentition to easily visualize the position of restorations, the shape (in scale), and the material used which is color encoded in 3D. The results provide the scientific background for the application of 3D volume rendering to visualize the human dentition for forensic identification purposes. © 2008 Springer-Verlag.

Place, publisher, year, edition, pages
2008. Vol. 122, no 4, 301-307 p.
Keyword [en]
Dental filling materials, Dental identification, Dual source CT, Extended CT scale, Forensic radiology
National Category
Engineering and Technology Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:liu:diva-45855DOI: 10.1007/s00414-008-0224-8ISI: 000256471700004PubMedID: 18335233OAI: diva2:266751
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2015-10-08

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed
By organisation
Center for Medical Image Science and Visualization (CMIV)Faculty of Health SciencesRadiology
In the same journal
International journal of legal medicine (Print)
Engineering and TechnologyComputer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 36 hits
ReferencesLink to record
Permanent link

Direct link