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Evaluating the accuracy of tooth color measurement by combining the Munsell color system and dental colorimeter

机译:结合Munsell色彩系统和牙科比色计评估牙齿颜色测量的准确性

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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.
机译:随着我们对牙科美学的日益关注,牙齿颜色匹配已成为日常牙科实践的重要组成部分。这项研究的目的是开发一种提高牙齿颜色匹配机精度的方法。使用牙齿颜色测量仪(ShadeEye NCC)测量自然人牙齿范围内的Munsell颜色标签。使用方差分析和Tukey事后检验分析了机器的精度。当将Munsell颜色标签与ShadeEye NCC比色计匹配时,色度大于6且值小于4的设置显示出不可接受的临床结果。当使用CIELAB模式时,a *值(代表国际照明委员会色彩空间中的红绿色轴)没有明显差异(p = 0.84),L *值(​​代表明度)导致负相关,而b *值(代表黄蓝色轴)导致与ΔE正相关。当以相同模式测量Munsell色彩标签和Vitapan并进行比较时,不准确之处表明Vitapan不是评估ShadeEye NCC稳定性和准确性的合适工具。通过了解机器的局限性,我们使用了Munsell颜色标签评估了数据;超出可接受范围的阴影应使用视觉阴影匹配方法重新评估,或者如果由另一台机器进行测量,则应覆盖此阴影范围以获得更准确的结果。

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