Literature DB >> 19963587

Dental identification system based on unwrapped CT images.

Sirilawan Tohnak1, Andrew Mehnert, Michael Mahoney, Stuart Crozier.   

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.

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Year:  2009        PMID: 19963587     DOI: 10.1109/IEMBS.2009.5332483

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  A pilot study of an automated personal identification process: Applying machine learning to panoramic radiographs.

Authors:  Adrielly Garcia Ortiz; Gustavo Hermes Soares; Gabriela Cauduro da Rosa; Maria Gabriela Haye Biazevic; Edgard Michel-Crosato
Journal:  Imaging Sci Dent       Date:  2021-05-06
  1 in total

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