Apparent Diagnosis of Periapical Lesions by Particle Swarm Optimization Algorithm

Journal Title: Scholars Journal of Applied Medical Sciences - Year 2016, Vol 4, Issue 9

Abstract

Diagnosis of periapical lesions with no human intervention is discussed in this study. Particle swarm optimization, in principle, is a computing volutionary technique and an optimization population-based method. The purpose of this paper is to diagnose periapical lesions with processing image using particle swarm optimization(PSO)algorithm in the X-Ray Digital (XRD) images that facilitate conducting a more accurate diagnosis. This algorithm is based on examination of the color changes around the tooth roots in the XRD images. The color of the periapical lesions around unhealthy tooth root is darker(Lucent)compared with that of the healthy tooth root (Lucent).The difference between this study and previous ones is computation of the color changes by image processing algorithm for diagnosis of the periapical lesions. Methodology of this algorithm on XRD image is to investigate the color changes around tooth root and to show the lesion existence. After running the algorithm, if the lesion is apical root around, PSO algorithm can recognize periapical lesios and identify its location. This algorithm provides useful and successful results for the presented tests and experiments. Using this algorithm, it is possible to save time, reduce errors, and have a more accurate diagnosis. Among the potential applications of this algorithm is to intelligently help dentist robots, which will be used in the future. Keywords: Particle Swarm Optimization Algorithm, Periapical Lesions, Image Processing

Authors and Affiliations

Sirous Risbaf Fakour, Mohammad Naebi, Eshaghali Saberi, Ahmad Naebi, Somayeh Hosseini Tabatabaei, Nasim Davtalab Behnam, Hamideh Kadeh, Vida Maserat, Ali Mohsenpour, Nazanin Kamyab, Sara Pourabbas Kheiralddin

Keywords

Related Articles

To study the impact of cosmetically disfiguring skin disorders on quality of life

A Hospital based, questionnaire based cross-sectional study was conducted on patients attending dermatology O.P.D. of Adesh Institute of Medical Sciences and Research, Punjab, India. The objective of the study was to kno...

Prevalence of metabolic syndrome according to different criteria in adults

Metabolic syndrome is a collection of abdominal obesity, hypertension, glucose intolerance and lipid abnormalities (elevated triglycerides, elevated LDL, and decrease the amount of HDL). The aim of this study is to inves...

Study of Role of Suture Material in Development of Wound Dehiscence and Burst Abdomen

In this study we evaluated the role of different suture material in development of wound dehience and burst abdomen with different technique of closure like continuous/interrupted type. In our study which was carried...

Association of lipid profile and central arterial stiffness in the middle aged and the elderly

Abstract:The Association of lipid profile and central arterial stiffness in the middle aged and elderly. Study comprised of 100 subjects from medical OPDMDM, Jodhpur. Both C-F PWV and CIMT increased with increase in seru...

Clinical Profile and Management of Incisional Hernia with Special Reference to Use of Polypropylene Mesh: A Case Series

Incisional hernia represents the defect in the parietal abdominal wall fascia through which intra-abdominal or pre-peritoneal contents can protrude due to architectural deterioration of muscular aponeurosis or they may d...

Download PDF file
  • EP ID EP371687
  • DOI -
  • Views 79
  • Downloads 0

How To Cite

Sirous Risbaf Fakour, Mohammad Naebi, Eshaghali Saberi, Ahmad Naebi, Somayeh Hosseini Tabatabaei, Nasim Davtalab Behnam, Hamideh Kadeh, Vida Maserat, Ali Mohsenpour, Nazanin Kamyab, Sara Pourabbas Kheiralddin (2016). Apparent Diagnosis of Periapical Lesions by Particle Swarm Optimization Algorithm. Scholars Journal of Applied Medical Sciences, 4(9), 3277-3284. https://www.europub.co.uk/articles/-A-371687