Applicability of CIELAB/CIEDE2000 formula in visual color assessments of metal ceramic restorations

Xu, Binting; Zhang, Boen; Kang, Yong-Koo; Wang, Y.N.; Li, Q.

doi:10.1016/j.jdent.2012.04.011

Cited by 32 publications

(36 citation statements)

References 28 publications

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“…Each shade was also obtained in the form of L*a*b* color coordinates. CIEDE2000 color differences ( ΔE 00 ) between genders within each age group and between age groups for both genders were calculated using the following formula; ΔE 00 =

{[{((), \frac{Δ L^{'}}{K_{L} S_{L}})}^{2} + {((), \frac{Δ C^{'}}{K_{C} S_{C}})}^{2} + {((), \frac{Δ H^{'}}{K_{H} S_{H}})}^{2} + R_{T} (\frac{Δ C^{'}}{K_{C} S_{C}}) (\frac{Δ H^{'}}{K_{H} S_{H}})]}^{1 / 2}

and the values were compared with 50%:50% perceptibility threshold (PT) and 50%:50% acceptability threshold (AT) from the previous studies . Additionally, the L*a*b* color variables between smokers and nonsmokers were compared and then ΔE 00 values were calculated.…”

Section: Methodsmentioning

confidence: 99%

A study on the color distribution of natural teeth by age and gender in the Korean population with an intraoral spectrophotometer

Kim

2018

J Esthet Restor Dent

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Objective To investigate the distribution of natural tooth shades by age and gender in the Korean population with a spectrophotometer. Material and Methods A total of 674 human subjects were recruited and divided into three age groups; young (16‐30), middle (31‐59), and elderly (60‐89). Each group was then subdivided according to gender. Color was measured on the upper central incisor and CIELab color coordinates were obtained. CIEDE2000 color differences ( ΔE00) between genders within each age group and between age groups for both genders were calculated. Two‐way analysis of variance (ANOVA) was used to identify the influence of age and gender on each color variable. Results The most frequent color in the Korean population was 2L1.5. L* values decreased, while b* values increased with age (P < .05). There was a significant interaction between gender and age on b* values; F (2668) = 3.489, P = .031, partial η2 = 0.010, and observed power = 0.652. Females generally have lighter and less chromatic central incisors compared to males. The ΔE00 values between genders in elderly groups were beyond acceptability threshold. Conclusions The central incisors were getting darker, more yellowish, and reddish with age. Information on the chromatic range of natural teeth by age and gender could help to select colors for esthetic dental restorations. Clinical Significance Dentists should consider an unacceptable color mismatch between the restorations and natural dentition that can occur over time.

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{[{((), \frac{Δ L^{'}}{K_{L} S_{L}})}^{2} + {((), \frac{Δ C^{'}}{K_{C} S_{C}})}^{2} + {((), \frac{Δ H^{'}}{K_{H} S_{H}})}^{2} + R_{T} (\frac{Δ C^{'}}{K_{C} S_{C}}) (\frac{Δ H^{'}}{K_{H} S_{H}})]}^{1 / 2}

Section: Methodsmentioning

confidence: 99%

A study on the color distribution of natural teeth by age and gender in the Korean population with an intraoral spectrophotometer

Kim

2018

J Esthet Restor Dent

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“…The color difference (ΔE′) between two objects was calculated using the equation:

\begin{matrix} Δ E^{'} = [{(\frac{Δ L^{'}}{K_{L} S_{L}})}^{2} + {(\frac{Δ C^{'}}{K_{C} S_{C}})}^{2} + {(\frac{Δ H^{'}}{K_{H} S_{H}})}^{2} \\ {+ R_{T} (\frac{Δ C^{'}}{K_{C} S_{C}}) (\frac{Δ H^{'}}{K_{H} S_{H}})]}^{1 / 2} \end{matrix}

where ΔL′, ΔC′, and ΔH′ are the differences in lightness, chroma, and hue for a pair of samples in CIEDE2000, respectively, and R T is a rotation function that accounts for the interaction between chroma and hue differences in the blue region. Weighting functions, S L , S C , S H , adjust the total color difference for variation in the location of the color difference pair in L′, a′, b′ coordinates and the parametric factors, K L , K C , K H , are correction terms for experimental conditions …”

Section: Methodsmentioning

confidence: 99%

Spectrophotometric Analysis of the Influence of Metal Alloy Choice, Opaque Thickness, and Repeated Firing on the Shade of Metal Ceramic Restorations

Hamad

Qadan

Wahadni

2015

J Esthet Restor Dent

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“…(J Prosthet Dent 2015;-:---) calculated CIEDE2000 color difference (DE 00 ). [10][11][12] However, they are not interchangeable, especially for colors in different chroma and hue sections. 17,23 Furthermore, calculating color difference (DE) with a formula for achieving the best fit with visual color difference (DV) remains a problem in dentistry.…”

mentioning

confidence: 99%

“…17,23 Furthermore, calculating color difference (DE) with a formula for achieving the best fit with visual color difference (DV) remains a problem in dentistry. 10,13,20 It is therefore necessary to evaluate the performance of the color difference formulas in denture base acrylic resins, because a higher fit between DE and DV might provide a higher level of interpretation for clinical discoloration.…”

mentioning

confidence: 99%

Determining color difference thresholds in denture base acrylic resin

Ren

Lin

Huang

et al. 2015

The Journal of Prosthetic Dentistry

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Applicability of CIELAB/CIEDE2000 formula in visual color assessments of metal ceramic restorations

Cited by 32 publications

References 28 publications

A study on the color distribution of natural teeth by age and gender in the Korean population with an intraoral spectrophotometer

A study on the color distribution of natural teeth by age and gender in the Korean population with an intraoral spectrophotometer

Spectrophotometric Analysis of the Influence of Metal Alloy Choice, Opaque Thickness, and Repeated Firing on the Shade of Metal Ceramic Restorations

Determining color difference thresholds in denture base acrylic resin

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