The Journal of Advanced Prosthodontics

The Korean Academy of Prosthodonitics (대한치과보철학회)
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Measuring abutment convergence angles using stereovision dental image processing system

  • Yang, Hong-Seok (Seoul National University School of Dentistry) ;
  • Park, Ji-Man (Department of Dental Prosthodontics, Ewha Womans University) ;
  • Han, Jung-Suk (Department of Prosthodontics and Dental Research Institute, Seoul National University School of Dentistry) ;
  • Lee, Jai-Bong (Department of Prosthodontics and Dental Research Institute, Seoul National University School of Dentistry) ;
  • Kim, Sung-Hun (Department of Prosthodontics and Dental Research Institute, Seoul National University School of Dentistry) ;
  • Yeo, In-Sung (Department of Prosthodontics and Dental Research Institute, Seoul National University School of Dentistry)
  • Received : 2013.10.22
  • Accepted : 2014.02.26
  • Published : 2014.08.29
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Abstract

PURPOSE. The purpose of this study was to develop a dental image processing system using a three-dimensional (3D) camera and stereovision technology. The reliability of the system for measuring axial wall convergence angles was evaluated. MATERIALS AND METHODS. The new system predicted 3D coordinate points from 2D images and calculated distances and angles between points. Two examiners measured axial wall convergence angles for seven artificial abutments using a traditional tracing-based method (TBM) and the stereovision-based method (SVBM). Five wax abutment models of simplified abutment forms were made and axial wall convergence angles of wax models were measured by both methods. The data were statistically analyzed at the level of significance, 0.05. RESULTS. Intraclass correlation coefficients showed excellent intra-examiner and inter-examiner reliabilities for both methods. Bland-Altman plots and paired t-tests showed significant differences between measurements and true values using TBM; differences were not significant with SVBM. CONCLUSION. This study found that the SVBM reflected true angle values more accurately than a TMB and illustrated an example of 3D computer science applied to clinical dentistry.

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