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Title: Virtual autopsy appliances for Dental-Identification
Authors: Franco, A ×
Thevissen, Patrick
Coudyzer, W
Develter, Wim
Oyen, Raymond
Vandermeulen, Dirk
Jacobs, Reinhilde
Willems, Guy #
Issue Date: 14-May-2012
Conference: International Society Of Forensic Radiology And Imaging location:Switzerland, Zurich date:14-15 May 2012
Abstract: Introduction: Virtual autopsy is a noninvasive imaging technique which allows a quick and accurate observation of internal and external body evidences. Dental identification is mainly performed by comparing ante-mortem (AM) and post-mortem (PM) identifiers such as unique characteristics of the dentition and previous treatments. These dental identifiers are registered PM through visual, photographic, and radiological examinations. Aim: To detect which dental identifiers can be observed PM on full-body Computed Tomography (CT) images. Material and methods: Retrospectively, a sample of 100 full-body CT images from deceased victims, judicially examined at the mortuary of the University Hospitals KU Leuven, was collected. An additional validation sample of 3 individuals, which were examined both clinically and on CT images, was included in order to validate the virtual findings. The bodies were scanned in a Siemens Definition Flash CT Scanner (128-slices) with thickness of 1mm, kV = 120, mAs = 200, collimation of 128x0.6mm, in approximately 25 seconds. The obtained images were analyzed on a Siemens Multi Modality Workplace (MMWP). InSpace® (Siemens Medical Solutions, Erlangen, Germany) software was used for 3D reconstructions and generated axial, coronal and sagittal slices. The images were analyzed both on 8-bit and on 12-bit quality, using the toggle bar for higher resolution. The dental identifiers were charted on PM Interpol forms (F1, F2 – Pink), using the related codes. On all full body CTs a search for oral identifiers not listed in the Interpol coding was performed. Results: The full-body CTs allowed dental charting on Interpol forms. Optimal dental charting was obtained combining analyses of 3D image reconstructions and axial, coronal and sagittal slices. Examination of the validation sample confirmed that differentiation between types of dental restoration materials was not feasible on the full body CT’s. The toggle bar for 12-bit resolution, enabled the collection of detailed evidences such as endodontic treatments and small restorations. Several dental identifiers, not coded for in the dental Interpol forms, were registered based on the full body CT images. More specific 3D morphology of maxillofacial structures and tooth crown, root and pulp, location of mandibular foramina, periodontal anatomy and peri-apical pathologies could be observed. Discussion: The inability to differentiate between distinct types of dental restoration materials could be related to the image resolution used in current research protocol, also to the density of restoration materials and the presence of imaging artifacts. These disadvantages could be partially settled by implementing a higher imaging resolution, making more accurate the differentiation between restoration materials. During dental identification, full body CT images allow a quick dental overview justifying an immediate search for AM dental data. Nowadays, due to the increased importance of preventive treatments, the incidence of restorative dental treatment is decreasing. Consequently, the impact of typical dental restorations on identifications of individuals will become more important. In this context, the morphological registrations of dental identifiers based on full body CT’s provide an excellent new tool for dental identification. Conclusion: PM full-body CT’s can be considered as a new tool for dental identifications, registering supplementary morphological identifiers.
Publication status: submitted
KU Leuven publication type: IC
Appears in Collections:Forensic Dentistry
Department of Imaging & Pathology - miscellaneous
Radiology
ESAT - PSI, Processing Speech and Images
Oral Imaging Center
× corresponding author
# (joint) last author

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