Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Automatic Segmentation of Mandible in Panoramic X-Ray Publisher



Abdi AH1 ; Kasaei S1 ; Mehdizadeh M2
Authors
Show Affiliations
Authors Affiliations
  1. 1. Sharif University of Technology, Department of Computer Engineering, Azadi Ave., Tehran, 11155-9517, Iran
  2. 2. Isfahan University of Medical Sciences, School of Dentistry, Department of Maxillofacial Radiology, Isfahan, 81595-158, Iran

Source: Journal of Medical Imaging Published:2015


Abstract

As the panoramic X-ray is the most common extraoral radiography in dentistry, segmentation of its anatomical structures facilitates diagnosis and registration of dental records. This study presents a fast and accurate method for automatic segmentation of mandible in panoramic X-rays. In the proposed four-step algorithm, a superior border is extracted through horizontal integral projections. A modified Canny edge detector accompanied by morphological operators extracts the inferior border of the mandible body. The exterior borders of ramuses are extracted through a contour tracing method based on the average model of mandible. The best-matched template is fetched from the atlas of mandibles to complete the contour of left and right processes. The algorithm was tested on a set of 95 panoramic X-rays. Evaluating the results against manual segmentations of three expert dentists showed that the method is robust. It achieved an average performance of >93% in Dice similarity, specificity, and sensitivity. © 2015 Society of Photo-Optical Instrumentation Engineers (SPIE).
Related Docs
View other Related Docs
1. Removing Distortion of Periapical Radiographs in Dental Digital Radiography Using Embedded Markers in an External Frame, Journal of Medical Signals and Sensors (2012)
2. Impact of Using Standard and High‑Resolution Exposure Modalities of Cone‑Beam Computed Tomography (Cbct) System for Dental Implants Dimension Measurements, Advanced Biomedical Research (2023)
3. A Two-Stage Deep-Learning Model for Determination of the Contact of Mandibular Third Molars With the Mandibular Canal on Panoramic Radiographs, BMC Oral Health (2024)
4. A Review of Coronary Vessel Segmentation Algorithms, Journal of Medical Signals and Sensors (2011)
5. Comparison of Accuracy Between Pulp/Tooth Ratio and Tooth Coronal Index Methods for Dental Age Estimation Using Digital Panoramic Radiographs, Pesquisa Brasileira em Odontopediatria e Clinica Integrada (2023)
6. Comparison of Cone Beam Computed Tomography and Digital Radiography in Detecting Separated Endodontic Files and Strip Perforation, Applied Sciences (Switzerland) (2020)
7. Automatic Evaluation of Crown Preparation Using Image Processing Techniques: A Substitute to Faculty Scoring in Dental Education, Journal of Medical Signals and Sensors (2020)
8. Comparison of Periapical Parallel Radiography With Cbct With Different Field of Views (Fov) for the Detection of Periapical Lesions, Dental Research Journal (2024)
Experts (# of related papers)
View all Related Experts
Parisa Soltani (5)
Mojdeh Mehdizadeh (5)
Other Related Docs
9. Missing Surface Estimation Based on Modified Tikhonov Regularization: Application for Destructed Dental Tissue, IEEE Transactions on Image Processing (2018)
10. Application of Artificial Intelligence in Diagnosing Oral and Maxillofacial Lesions, Facial Corrective Surgeries, and Maxillofacial Reconstructive Procedures, Emerging Technologies in Oral and Maxillofacial Surgery (2023)
11. Cone-Beam Computed Tomographic Analysis of Canal Transportation and Centering Ability of Single-File Systems, Journal of Endodontics (2018)
12. Evaluation of the Effect of Amalgam Fillings on the Diagnosis of Proximal Caries Using Cone‑Beam Computed Tomography Technique, Dental Research Journal (2023)
13. Effect of Different Levels of Sharpness Processing Filter on the Measurement Accuracy of Endodontic File Length, Dental Hypotheses (2016)
14. Prevalence of C-Shaped Canals and Three-Rooted Mandibular Molars in the Iranian Population by Using Cone-Beam Computed Tomography, Clinical and Experimental Dental Research (2023)
15. Evaluation of Histogram Equalization and Contrast Limited Adaptive Histogram Equalization Effect on Image Quality and Fractal Dimensions of Digital Periapical Radiographs, Oral Radiology (2023)
16. Detection of Vertical Root Fractures Using Cone-Beam Computed Tomography in the Presence and Absence of Gutta-Percha, Scientific World Journal (2018)
17. Comparison of Accuracy of Determining the Distance Between Alveolar Crest and Cementoenamel Junction in Digital Radiography With Scanora and Dentaleye Software Programs, Journal of Contemporary Dental Practice (2016)
18. Deep Learning for Tooth Identification and Enumeration in Panoramic Radiographs, Dental Research Journal (2023)
19. Effect of Contrast Inversion Enhancement on the Accuracy of Endodontic File Length Determination in Digital Radiography, Journal of Clinical and Diagnostic Research (2015)
20. Automatic Production of Synthetic Labelled Oct Images Using an Active Shape Model Hajar Danesh, IET Image Processing (2020)
21. Proximal Caries Detection Accuracy Using Intra Oral Digital Bitewing Radiography and Conventional Intra Oral Bitewing Radiography With Film, Journal of Mazandaran University of Medical Sciences (2015)