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International Journal of Dentistry
Volume 2016 (2016), Article ID 3264545, 7 pages
http://dx.doi.org/10.1155/2016/3264545
Research Article

Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm

1School of Dentistry, Zahedan University of Medical Science, Zahedan, Iran
2Oral and Dental Disease Research Center, Department of Endodontics, School of Dentistry, Zahedan University of Medical Science, Zahedan, Iran
3Oral and Dental Disease Research Center, Department of Oral and Maxillofacial Surgery, Zahedan University of Medical Science, Zahedan, Iran
4State Key Laboratory for Manufacturing Systems Engineering, Systems Institute, Xi’an Jiaotong University, Xi’an, China
5Department of Operative Dentistry, Oral and Dental Disease Research Center, Zahedan University of Medical Science, Zahedan, Iran
6Department of Periodontology, Oral and Dental Disease Research Center, Zahedan University of Medical Science, Zahedan, Iran
7Department of Public Health, Oral and Dental Disease Research Center, Zahedan University of Medical Science, Zahedan, Iran
8School of Dentistry, Tabriz University of Medical Science, Tabriz, Iran

Received 10 January 2016; Revised 6 March 2016; Accepted 22 March 2016

Academic Editor: Francesco Mangano

Copyright © 2016 Mohammad Naebi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background/Purpose. In terms of the detection of tooth diagnosis, no intelligent detection has been done up till now. Dentists just look at images and then they can detect the diagnosis position in tooth based on their experiences. Using new technologies, scientists will implement detection and repair of tooth diagnosis intelligently. In this paper, we have introduced one intelligent method for detection using particle swarm optimization (PSO) and our mathematical formulation. This method was applied to 2D special images. Using developing of our method, we can detect tooth diagnosis for all of 2D and 3D images. Materials and Methods. In recent years, it is possible to implement intelligent processing of images by high efficiency optimization algorithms in many applications especially for detection of dental caries and restoration without human intervention. In the present work, we explain PSO algorithm with our detection formula for detection of dental caries and restoration. Also image processing helped us to implement our method. And to do so, pictures taken by digital radiography systems of tooth are used. Results and Conclusion. We implement some mathematics formula for fitness of PSO. Our results show that this method can detect dental caries and restoration in digital radiography pictures with the good convergence. In fact, the error rate of this method was 8%, so that it can be implemented for detection of dental caries and restoration. Using some parameters, it is possible that the error rate can be even reduced below 0.5%.