Forensic Individual Identification Based on the New Coding Method of Oral Pano-ramic Tomography.
10.12116/j.issn.1004-5619.2020.06.005
- Author:
Meng LIU
1
;
Fei FAN
1
;
Che SUN
2
;
Shi Wen QIU
1
;
Yuan Yuan LIU
3
;
Xiao Li GUO
1
;
Zhen Hua DENG
1
Author Information
1. West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China.
2. College of Computer Science, Sichuan University, Chengdu 610041, China.
3. Department of Oral Radiology, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
- Publication Type:Journal Article
- Keywords:
forensic anthropology;
forensic odontology;
oral panoramic tomography;
diversity;
identification
- MeSH:
Forensic Dentistry;
Forensic Medicine;
Humans;
Radiography, Panoramic;
Retrospective Studies;
Tooth/diagnostic imaging*
- From:
Journal of Forensic Medicine
2020;36(6):767-771
- CountryChina
- Language:Chinese
-
Abstract:
Objective To discuss a new coding method for individual identification based on oral panoramic tomography, analyze the diversity of different coding modules in nonhomologous images and the consistency and the matching rate of the coding indexes of different coding modules in homologous images, and evaluate the application value of the different modules and the new coding method in individual identification. Methods The oral panoramic tomography images of 1 000 patients with permanent teeth were collected retrospectively. Each patient had two images taken at different times （called the Early database and the Late database according to the chronological order）. Each image was coded according to the designed coding method. A computer program was designed to compare the diversity of different modules, and calculate the diversity and consistency of different coding modules as well as the matching rate of the coding indexes. Results The diversity of the 4 modules that reflected teeth characteristics was much higher than that of other modules in the same database. The highest diversity was noticed in the module of right mandibular teeth in samples of both databases. The coding consistencies of the 4 modules were all above 50%. Besides, 90.2% of the matching rates of indexes of homologous images were over 80%. Conclusion The 4 modules have higher application value in individual identification, especially the right mandibular teeth. The coding method has a certain value in forensic individual identification.
