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Three-dimensional evaluation on the repeatability and reproducibility of dental scanner-based digital models

치과용 스캐너로 채득한 디지털 모형의 반복성 및 재현성에 관한 3차원적 평가

  • Lee, Gyeong-Tak (Department of Health Science Specialized in Dental Lab. Science & Engineering, Graduate School, Korea University) ;
  • Kim, Jae-Hong (Department of Health Science Specialized in Dental Lab. Science & Engineering, Graduate School, Korea University) ;
  • Kim, Woong-Chul (Department of Health Science Specialized in Dental Lab. Science & Engineering, Graduate School, Korea University) ;
  • Kim, Ji-Hwan (Department of Health Science Specialized in Dental Lab. Science & Engineering, Graduate School, Korea University)
  • 이경탁 (고려대학교 대학원 보건과학과 치의기공전공) ;
  • 김재홍 (고려대학교 대학원 보건과학과 치의기공전공) ;
  • 김웅철 (고려대학교 대학원 보건과학과 치의기공전공) ;
  • 김지환 (고려대학교 대학원 보건과학과 치의기공전공)
  • Received : 2012.07.19
  • Accepted : 2012.09.21
  • Published : 2012.09.30

Abstract

Purpose: The aim of this study was to determine the repeatability and reproducibility of two dental scanners. Methods: The master die and the stone replicas(Kavo, Germany) were digitized in touch-probe scanner(Incise, Renishaw, UK), white light scanner(Identica, Medit, Korea) to create 3-dimensional surface-models. The number of points in the point clouds from each reading were calculated and used as the CAD reference model(CRM). Discrepancies between the points in the 3-dimensional surface models and the corresponding CRM were measured by a matching-software(Power-Inspect R2, Delcam Plc, UK). The t-student test for one samples were used for statistical analysis. Results: The reproducibility of both scanner was within $3{\mu}m$, based on mean value. The mean value between measurements made directly on the touch probe scanner digital models and those made on the white light scanner digital models was $2.20-2.90{\mu}m$, and was statistically significant(P<0.05). Conclusion: With respect to adequate data acquisition, the reproducibility of dental scanner differs. Three-dimensional analysis can be applied to differential quality analysis of the manufacturing process as well as to evaluation of different analysis methods.

Keywords

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