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European Journal of Prosthodontics and Restorative Dentistry  —  Vol. 25, Issue 2 (June 2017) ← Back to issue

The Early Erosive and Abrasive Challenge: A Profilometric, Electron Microscopic and Microhardness Study Using Human, Bovine and Ovine Enamel

DOI: 10.1922/EJPRD_01660Field08

Purpose: The aim of the current study is to develop a novel method to investigate the accuracy of 3D scanners and digital articulation systems. Materials and Methods: An upper and a lower poured stone model were created by taking impression of fully dentate male (fifty years old) participant. Titanium spheres were added to the models to allow for an easily recognisable geometric shape for measurement after scanning and digital articulation. Measurements were obtained using a Coordinate Measuring Machine to record volumetric error, articulation error and clinical effect error. Three scanners were compared, including the Imetric 3D iScan d104i, Shining 3D AutoScan-DS100 and 3Shape D800, as well as their respective digital articulation software packages. Stoneglass Industries PDC digital articulation system was also applied to the Imetric scans for comparison with the CMM measurements. Results: All the scans displayed low volumetric error (p>0.05), indicating that the scanners themselves had a minor contribution to the articulation and clinical effect errors. The PDC digital articulation system was found to deliver the lowest average errors, with good repeatability of results. Conclusion: The new measuring technique in the current study was able to assess the scanning and articulation accuracy of the four systems investigated. The PDC digital articulation system using Imetric scans was recommended as it displayed the lowest articulation error and clinical effect error with good repeatability. The low errors from the PDC system may have been due to its use of a 3D axis for alignment rather than the use of a best fit.

Keywords

CAD/CAM (Computer Aided Design/ Computer Aided Manufacturing) Dimensional Measurement Accuracy Extraoral Scanner

Article Information
Pages
93 – 100
Cover Date
June 2017
Volume
25
Issue
2
Print ISSN
0965-7452
Electronic ISSN
2396-8893
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