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Forensic Odontology: Automatic Identification of Persons Comparing Antemortem and Postmortem Panoramic Radiographs
Andreas Heinrich1, Felix Güttler1, Sebastian Wendt1
1Department of Radiology, Jena University Hospital - Friedrich Schiller University, Jena, Germany.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin
|June 19, 2018
Summary
This study introduces an automated system using computer vision to compare antemortem and postmortem panoramic radiographs for reliable person identification. The method efficiently matches dental records in large datasets, even with altered characteristics.
Area of Science:
- Forensic Odontology
- Computer Vision
- Radiographic Analysis
Background:
- Comparison of antemortem and postmortem panoramic radiographs (PRs) is a reliable method for person identification in forensic odontology.
- Automating this comparison process can improve efficiency and accuracy.
Purpose of the Study:
- To enhance and automate the identification of unknown individuals by comparing antemortem and postmortem PRs using computer vision.
- To develop a reliable and fast method for person identification from radiographic data.
Main Methods:
- Utilized a dataset of 43,467 PRs from 24,545 patients.
- Employed Matlab R2014b with image processing and computer vision toolboxes.
- Implemented the SURF feature for matching corresponding points between PRs in a large database.
Main Results:
- Achieved reliable identification for 85% (34 out of 40) of randomly selected persons.
- Identified a threshold of 12 matching points for reliable assignment between different PRs of the same person.
- Demonstrated robustness in matching, with up to 259 points for identical PRs and a maximum of 12 for non-identical ones.
Conclusions:
- An automated PR system with computer vision is a successful and reliable tool for forensic identification.
- The method offers fast and reliable identification, suitable for large datasets ('big data').
- The system remains effective even when dental characteristics have been altered (removed or added).
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