title: Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm.
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%.
authors.affiliation: School of Dentistry, Zahedan University of Medical Science, Zahedan, Iran.
authors.forename: Mohammad
authors.initials: M
authors.lastname: Naebi
authors.affiliation: Oral and Dental Disease Research Center, Department of Endodontics, School of Dentistry, Zahedan University of Medical Science, Zahedan, Iran.
authors.forename: Eshaghali
authors.initials: E
authors.lastname: Saberi
authors.affiliation: Oral and Dental Disease Research Center, Department of Oral and Maxillofacial Surgery, Zahedan University of Medical Science, Zahedan, Iran.
authors.forename: Sirous
authors.initials: S
authors.lastname: Risbaf Fakour
authors.affiliation: State Key Laboratory for Manufacturing Systems Engineering, Systems Institute, Xi'an Jiaotong University, Xi'an, China.
authors.forename: Ahmad
authors.initials: A
authors.lastname: Naebi
authors.affiliation: Department of Operative Dentistry, Oral and Dental Disease Research Center, Zahedan University of Medical Science, Zahedan, Iran.
authors.forename: Somayeh
authors.initials: S
authors.lastname: Hosseini Tabatabaei
authors.affiliation: Department of Periodontology, Oral and Dental Disease Research Center, Zahedan University of Medical Science, Zahedan, Iran.
authors.forename: Somayeh
authors.initials: S
authors.lastname: Ansari Moghadam
authors.affiliation: Department of Public Health, Oral and Dental Disease Research Center, Zahedan University of Medical Science, Zahedan, Iran.
authors.forename: Elham
authors.initials: E
authors.lastname: Bozorgmehr
authors.affiliation: School of Dentistry, Tabriz University of Medical Science, Tabriz, Iran.
authors.forename: Nasim
authors.initials: N
authors.lastname: Davtalab Behnam
authors.affiliation: Oral and Dental Disease Research Center, Department of Oral and Maxillofacial Surgery, Zahedan University of Medical Science, Zahedan, Iran.
authors.forename: Hamidreza
authors.initials: H
authors.lastname: Azimi