
Evaluating the accuracy of tooth color measurement by combining the Munsell color system and dental colorimeter
Author(s) -
Chang JiunYao,
Chen WenCheng,
Huang TaKo,
Wang JenChyan,
Fu PoSung,
Chen JengHuey,
Hung ChunCheng
Publication year - 2012
Publication title -
the kaohsiung journal of medical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.439
H-Index - 36
eISSN - 2410-8650
pISSN - 1607-551X
DOI - 10.1016/j.kjms.2012.04.006
Subject(s) - colorimeter , lightness , medicine , color difference , artificial intelligence , color space , orthodontics , dentistry , computer vision , computer science , optics , enhanced data rates for gsm evolution , physics , image (mathematics)
As we pay increasing attention to dental aesthetics, tooth color matching has become an important part of daily dental practice. This aim of this study was to develop a method to enhance the accuracy of a tooth color matching machine. The Munsell color tabs in the range of natural human teeth were measured using a tooth color measuring machine (ShadeEye NCC). The machine's accuracy was analyzed using an analysis of variance test and a Tukey post‐hoc test. When matching the Munsell color tabs with the ShadeEye NCC colorimeter, settings of Chroma greater than 6 and Value less than 4 showed unacceptable clinical results. When the CIELAB mode was used, the a * value (which represents the red–green axis in the Commission Internationale de l'Eclairage color space) made no significant difference ( p = 0.84), the L * value (which represents the lightness) resulted in a negative correlation, and the b * value (which represents the yellow–blue axis) resulted in a positive correlation with Δ E . When the Munsell color tabs and the Vitapan were measured in the same mode and compared, the inaccuracies showed that the Vitapan was not a proper tool for evaluating the stability and accuracy of ShadeEye NCC. By knowing the limitations of the machine, we evaluated the data using the Munsell color tabs; shade beyond the acceptable range should be reevaluated using a visual shade matching method, or if measured by another machine, this shade range should be covered to obtain more accurate results.