Skip to main content

Harmonizing color measurements in dentistry using translucent tooth-colored materials

Abstract

Background

Since color measurements are relative, the discrepancy among different instruments is alarmingly high. This multicenter study evaluated the effectiveness of instrument calibration and inter-instrument harmonization of different spectrophotometers with the same optical geometry using tooth-colored, translucent dental materials.

Methods

The coordinating center (CC) spectrophotometer was calibrated using the NPL Ceram Series II set. Two sets of 10 specimens, labeled 1 to 10 and I to X (10 mm in diameter and 1 mm thick), were tested at CC and three research sites (RS1, RS2, and RS3) using the same d/8° optical geometry spectrophotometers. Calibration factors were calculated for each material and site to obtain the average calibration factors for sets 1–10, set I-X, and the combination of both. The differences among the non-corrected and corrected reflection values were calculated using CIEDE2000 (DeltaE00) and CIELAB (DeltaEab) color difference formulas and were submitted to ANOVA and Tukey test (α = 0.05).

Results

A significant decrease of color differences between non-corrected as compared to corrected measurements was recorded for all CC-RS and RS-RS comparisons. The reduction of DeltaE00 values between non-corrected and corrected for CC-RS1, CC-RS2, and CC-RS3 were 83.1%, 77.2%, and 73.6%, respectively. The corresponding DeltaE00 values for RS1-RS2, RS1-RS3, and RS2-RS3 comparisons, indirectly compared in the experiment, were 84.2%, 82.8%, and 68.5%, respectively. There was a significant reduction of DeltaE00 and DeltaEab color difference for all combined RS pairs and each of three RS pairs, corrected with one of two specimen sets calibration factors separately.

Conclusions

Calibration and harmonization of color measurements in dentistry using tooth-colored, translucent restorative materials significantly decreased measurement discrepancies between the coordinating center and research sites and among pairs of research sites.

Peer Review reports

Background

The interest in the optical properties of teeth and dental materials has increased over the years. A previous search in Pubmed with the keywords “color and dentistry and spectrophotometer” provided 1070 references from 1950 to May 2020 [1]. The search resulted in 485 articles published in the last three years (2021 until November 2023).

Different devices and protocols, such as visual analysis, [2] compact and hand-held spectrophotometers, [3] benchtop spectrophotometers, [4] and more recently, intra-oral scanners, [5] photocolorimetry [6] and mobile phone apps, [7] have been used for color measurements. Despite spectrophotometry being considered the gold standard for this purpose, similarly to the methods mentioned above, this instrumental analysis is susceptible to errors, which lead to measurement differences [4, 8,9,10,11,12]. As opposed to absolute measurements (such as height, weight, and distance), color measurements are relative. Therefore, the discrepancy among different instruments of the same optical geometry can be alarmingly high. This type of comparison would not be appropriate for instruments with different optical geometries. Calibration of the measuring instrument wavelength scale using an independent set of ceramic tiles with known reflectance or opaque white ceramic tile and black tile/trap (paired with each instrument) is recommended to reach higher reliability of measurements.

Translucent tooth-colored materials were suitable as calibration tiles [13] and for harmonizing reflection spectra measurements recorded with different spectrophotometers of the same optical geometry [14]. However, there is no information about the effect of applying calibration factors calculated from a set of realistic translucent tooth-colored specimens to harmonize the spectral wavelength of unknown specimens. This multicenter study evaluated the effectiveness of instrument calibration and inter-instrument harmonization of color measurements of spectrophotometers with the same optical geometry using tooth-colored, translucent dental materials. If validated, the proposed method of applying calibration factors calculated from a distinct set of specimens for reflection spectra measurements harmonization could be used as a reference for further modifications of ISO standards. The research hypotheses were that there would be a significant reduction of color differences (ΔE00, ΔEab) among:

  1. 1.

    Coordinating Center (CC) and research sites (RS) for non-corrected (NC) and corrected (CO) measurements;

  2. 2.

    RS pairs for non-corrected (NC) and corrected (CO) measurements;

  3. 3.

    All RS pairs combined and each of three RS pairs, for non-corrected (NC) measurements, corrected (CO), corrected with one of two specimen sets calibration factor (CF) separately (CO 1–10 and CO I-X).

Methods

Two sets of 10 tooth-colored restorative material specimens each, labeled from 1 to 10 and I to X (Table 1), were used in this study (Table 1). Specimens were prepared at the coordinating center – CC (Table 2), from commercially available pre-sintered blocks and were sintered to reach final dimensions (12.5 mm × 10 mm, 1 mm thick). After light polymerization, resin-based disks (10 mm in diameter, 1 mm thick) were finished with # 400 SiC paper under water cooling using a grinder/polisher (Ecomet 6, Buehler, Lake Bluff, IL) at 150 rpm. A 40-second polishing was performed with Enhance PoGo polisher (Dentsply Sirona, Charlotte, NC) mounted in a low-speed handpiece (maximum 15,000 rpm) with light hand pressure [4].

Table 1 Tested materials, manufacturer, and lot number [4].

The translucency parameter (TP) was calculated as the difference in the color of the same specimen against white (L*=96.0, a*=-0.6 and b*=2.0) and black (L*=23.2, a*=0.0 and b*=-0.5) ceramic tiles – backing. The mean (SD) TP of the 1–10 set was 16.3 (4.6), ranging from 9.3 to 21.1, while the corresponding values for I-X set were 9.7 (0.7), ranging from 8.5 to 10.8.

The CC spectrophotometer Ci7600 (X-Rite, Grand Rapids, IL) was calibrated using 12 opaque ceramic tiles with known reflection and L*a*b* values provided by the National Physical Laboratory, the UK National Metrology Institute (NPL Set 1241 Ceramic Colour Standards – Series II, Gloss Set 0635, Certificate of Calibration No. 01225, CERAM Researches, Teddington, UK). Five measurements were performed for each tile, presenting an average of three consecutive readings without replacement [4].

The following configuration: CIE D65 standard illuminant, d/8°, 2° 1931 standard observer, specular component included (SCI), UV component included, and small area view (SAV) aperture (6 mm in diameter), was used to record reflection values from 380 to 750 nm, at 10 nm intervals. A final wavelength-dependent Calibration Factor, CF(λ), computed as the mean value across all data sets, was calculated from the Individual Calibration Factor, CF(λ), for each wavelength and each of the 12 calibration tiles [4]. Once the mean CF(λ) was determined, the CC Reflectance Calibration values, RC(λ), were computed as follows: [15]

$${R_C}_{(\lambda )} = {R_{\left( \lambda \right)}} \times C{F_{(\lambda )}}$$
(Eq. 1)

RC corresponds to calibrated reflectance measurements, and R(λ) corresponds to non-calibrated reflectance measurements at CC, respectively [15].

The CC spectrophotometer exhibited outstanding accuracy before and after calibration, with ΔE00 of 0.28 (0.10) and 0.26 (0.16), respectively, and the corresponding ΔEab values of 0.43 (0.20) and 0.40 (0.31), respectively.

Spectral reflection values of tooth-colored specimens were measured against the white calibration tile. Three measurements were obtained for each specimen, and the mean value was used for harmonization [4]. Specimens were then sent to three research sites (RS) in Brazil, where the reflectance spectra of each specimen were measured using contact-type d/8° spectrophotometers (Table 2), using the identical method and setup for the CC spectrophotometer.

Table 2 Research sites and spectrophotometers involved in the present study

Data on non-corrected Reflectance Spectra, R(λ), for each material and each RS, were used to calculate CF(λ) based on RC (λ) values recorded at CC [4]. CF(λ) values were calculated for each material and site to obtain the average CF for sets 1–10, set I-X, separately, and their combination. The mean values for each set, separately, and the combination for all 20 specimens (at each wavelength) were computed as CF for each RS. Data on the reflectance spectra of each RS were then corrected using Eq. 1.

Non-corrected (NC) and corrected (CO) reflection values from CC and RSs were converted into CIEDE2000 [16] and CIELAB [17] values, and respective color differences were calculated [4]. CIELAB color differences were used to facilitate comparisons with previous studies. The ΔE00 and ΔEab comparisons of NC and CO values for all CC-RS and RS-RS pairs, for each specimen set and their combination, were performed using Two-way ANOVA and Tukey test (JASP, 0.18.0, Department of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands), at α = 0.05. In addition, color differences were interpreted through corresponding visual thresholds: ΔE00 ≤ 0.8 and ≤ 1.8 (CIEDE2000 50:50% perceptibility – PT and 50:50% acceptability threshold – AT, respectively), and corresponding ΔEab ≤ 1.2 (PT) and ΔEab ≤ 2.7 (AT) [18]. Color differences above the AT were categorized as mismatch type [a] or moderately unacceptable (> AT, ≤ AT × 2), mismatch type [b] or clearly unacceptable (> AT × 2, ≤AT × 3), and mismatch type [c] or extremely unacceptable (> AT × 3) [19].

Results

The results of the Analysis of Variance showed a significant reduction of ΔE00 and ΔEab values upon harmonization (p < 0.05). The comparisons of color differences between CC and non-corrected (NC)/corrected (CO) RSs are presented in Table 3.

Table 3 Mean ΔE00 and ΔEab values and standard deviation of paired Coordinating Center (CC) and each research site (RS) for non-corrected (NC) and corrected (CO) measurements

The mean reduction of corrected color differences compared to non-corrected ones was 77.6% (CIEDE2000) and 80% (CIELAB). The CIEDE2000 color difference reduction of 83.1; 77.2; and 73.6% was recorded for CC-RS1, CC-RS2, and CC-RS3 comparisons, respectively. The corresponding CIELAB color difference reduction was 83.9, 79.0, and 76.9%, respectively.

The harmonization of pairs of research sites (RS) and corresponding comparisons among them are shown in Table 4. The ΔE00 and ΔEab values were calculated from non-corrected (NC) and corrected (CO) wavelengths.

Table 4 Mean values and standard deviation of ΔE00 and ΔEab of paired research site (RS) for non-corrected (NC) and corrected (CO) measurements

The mean reduction of corrected color differences compared to non-corrected ones was 82.1% (CIEDE2000) and 78.5% (CIELAB). The CIEDE2000 color difference reduction of 84.2; 82.8; and 68.5%, was recorded for RS1-RS2, RS1-RS3 and RS2-RS3 comparisons, respectively. The corresponding CIELAB color difference reduction was 82.9, 83.4, and 80.0%, respectively.

The result of the Analysis of Variance for ΔE00 and ΔEab of each specimen set (1–10 and I-X) for paired RS and CO wavelengths, calculated separately from the two sets, showed the significance of paired RS and for the interaction of specimen set vs. CO (p < 0.001, for both). Comparisons of ΔE00 and ΔEab for each specimen set, for all combined RS pairs, calculated from the CO 1–10 and CO I-X separately, are presented in Table 5.

Table 5 The mean values and standard deviation of ΔE00 and ΔEab for each specimen set (1–10 and I-X) and all RS pairs, calculated separately from CO 1–10 and CO I-X

The comparisons of ΔE00 and ΔEab values of the same specimens set, calculated from the average wavelength of 10 specimens, separately, CO 1–10 and CO I-X, showed similar and comparable values for set 1–10. For the set I-X, comparable but significantly different values were obtained with CO 1–10 and CO I-X for ΔEab and ΔE00 values.

Comparisons of ΔE00 and ΔEab of paired research site (RS), for each specimen set (1–10 and I-X), calculated from non-corrected (NC) wavelengths and calibration factor calculated from the average wavelength of 10 specimens, separately, CO 1–10 and CO I-X, are presented in Table 6.

Table 6 Mean values and standard deviation of ΔE00 and ΔEab of paired research sites (RS) for each specimen set (1–10 and I-X), calculated from non-corrected (NC) wavelengths and calibration factor calculated from the average wavelength of 10 specimens, separately, CO 1–10 and CO I-X

ΔE00 and ΔEab values of each set of specimens showed no differences between ΔE00 calculated from the average wavelength of specimens 1–10 and I-X. The same results were observed for ΔEab values.

Discussion

Industry/profession-specific harmonization using translucent tooth-colored dental materials of different spectrophotometers with the same optical geometry has been proven effective [1, 4]. Hence, the first research hypothesis has been accepted. Two of three CC-RS pairs exhibited high non-corrected ΔE00 and ΔEab, and the remainder CC-RS3 pair presented comparable values (Table 3). Higher non-corrected ΔE00 and ΔEab total color differences are possibly due to the lack of a more frequent calibration of the instruments of research sites tested in the study. Comparable ΔE00 and ΔEab values were obtained for CC-RS pairs upon harmonization.

In the present study, a significant decrease of ΔE00 and ΔEab color differences among different sites was achieved upon correcting reflection values, using each set of tooth-colored dental materials as calibration tiles or the combination of them. Despite the TP difference between specimens set, similar reduction of ΔE00 and ΔEab color differences were observed (Table 4), which confirmed previous results using the same protocol and specimens [4]. Both set of specimens had previously been tested in other studies and had proved to be effective as calibration targets for harmonization of color measurements [1, 4]. This result could be achieved because plastics and ceramics fulfill some of the required properties of a calibration target, such as high and constant reflectance over small variations of angles of incidence, durability, [13] stability, and easy handling [20].

Previous studies had harmonized the spectral wavelength of one set of specimens itself [1, 4]. As far as it is known, this study is the first to use translucent tooth-colored materials to calculate calibration factors and harmonize reflection spectra measurements of another set of specimens. For set 1–10, similar ΔE00 and ΔEab color differences were obtained for combined RS pairs, with the calibration factor calculated from reflection spectra of set 1–10 compared to set I-X (Table 5). The same result was observed for each RS pair. For set I-X, comparable but significantly different ΔE00 and ΔEab color differences were observed for combined RS pairs for the comparison between calibration factor calculated from reflection spectra of set 1–10 compared to set I-X. Conversely, similar ΔE00 and ΔEab color differences were obtained for each RS pair (Table 6).

When interpreting non-corrected ΔE00 total color differences, 100% of CC-RS pairs and 100% of RS pairs presented values above AT. Two of three CC-RS pairs and two of three RS pairs followed into an extremely unacceptable mismatch, while the pair RS2-RS3 corresponded to an unacceptable mismatch. Upon harmonization, 100% of ΔE00 and ΔEab total color differences for CC-RS pairs were below AT. An excellent match was noted for the CC-RS3 pair, while an acceptable match was registered for the CC-RS1 and CC-RS2 pairs. For RS pairs, ΔE00 and ΔEab total color differences for RS1-RS2 and RS1-RS3 pairs corresponded to a moderately unacceptable mismatch, while RS2-RS3 corresponded to an acceptable match.

For combined RS pairs, ΔE00 and ΔEab total color differences for CO 1–10 and CO I-X corresponded to acceptable match and moderately unacceptable mismatch for specimens set 1–10. For the set I-X, acceptable match and moderately unacceptable mismatch were observed with CO I-X and CO 1–10, respectively.

Non-corrected ΔE00 and ΔEab values were calculated for each RS pair and each set of specimens, 100% of values were above AT. For RS1-RS2 and RS1-RS3 pairs, color differences corresponded to an extremely unacceptable mismatch, while for the RS2-RS3 pair, it corresponded to a clearly unacceptable mismatch. After harmonization, an excellent match of ΔE00 and ΔEab total color differences was observed for RS2-RS3 set I-X calculated with CO I-X. Five of 11 ΔE00 total color differences were categorized as acceptable match, five as moderately unacceptable mismatch, and one as clearly unacceptable mismatch. Six of eleven ΔEab total color differences corresponded to an acceptable match, while five corresponded to a moderately unacceptable mismatch.

The indirect harmonization among research sites by comparisons with a master laboratory, using calibration factors for an unknown set of specimens, proved effective as the grades of ΔE00 and ΔEab total color differences shifted from extremely unacceptable mismatch (non-corrected wavelengths) to acceptable match. It also highlighted the importance of harmonizing the wavelength spectra to provide consistent and comparable color measurements. This could be obtained with a small number of specimens, which is important to keep this protocol as easy and practical as possible.

Using industry/profession-specific clinically relevant translucent tooth-colored materials as calibration tiles in a standardized protocol, in addition to the methodologies of previous studies [1, 4], is a valuable tool for significantly reducing color differences among different sites, thus facilitating multicenter studies and communication. However, it should be used with care because spectrophotometry is designed for analysis of flat surfaces, which is not suitable for color measurement of curved surfaces of natural tooth and restorations. Furthermore, special attention should be given to the preparation of specimens used as calibration tiles to achieve and maintain materials color stability.

Conclusions

Within the limitations of this study, it was concluded that:

  1. 1.

    Harmonization of reflection spectra measurements using tooth-colored, translucent restorative materials resulted in a significant reduction of color differences (ΔE00, ΔEab) among all Coordinating center – research site pairs;

  2. 2.

    In addition, the method resulted in a significant decrease in color differences (ΔE00, ΔEab) among research site pairs;

  3. 3.

    Using the Calibration Factors of each of the two specimen sets separately (1–10 and I-X) enabled a significant reduction of color differences (ΔE00, ΔEab) among all research site pairs.

Data availability

No datasets were generated or analysed during the current study.

Abbreviations

CC :

Coordinating center

RS :

Research sites

CF :

Calibration factor

NC :

Non-corrected

CO :

Corrected

SCI:

Specular component included

SAV:

Small area view

CF (λ) :

Individual Calibration Factor

R C(λ) :

Reflectance Calibration value

R C :

Calibrated reflectance measurement

R (λ) :

Non-calibrated reflectance measurement

PT:

CIEDE2000 50:50% Perceptibility threshold

AT:

CIEDE2000 50:50% Acceptability threshold

References

  1. Paravina RD, Pereira Sanchez NA, Tango RN. Harmonization of color measurements for dental application. Color Res Appl. 2020. https://doi.org/10.1002/col.22553.

    Article  Google Scholar 

  2. Tejada-Casado M, Pérez MM, Della Bona A, Lübbe H, Ghinea R, Herrera LJ. Chroma-dependence of CIEDE2000 acceptability thresholds for dentistry. J Esthet Restor Dent. 2023. https://doi.org/10.1111/jerd.13153.

    Article  PubMed  Google Scholar 

  3. Yousry MA, Hammad IA, El Halawani MT, Aboushelib MN. Effect of sintering time on microstructure and optical properties of yttria-partially stabilized monolithic zirconia. Dent Mater. 2023. https://doi.org/10.1016/j.dental.2023.10.012.

    Article  PubMed  Google Scholar 

  4. Paravina RD, Aleksic A, Tango RN, García-Beltrán A, Johnston WM, Ghinea RI. Harmonization of color measurements in dentistry. Measurement. 2021. https://doi.org/10.1016/j.measurement.2020.108504.

    Article  Google Scholar 

  5. Akl MA, Mansour DE, Zheng F. The role of Intraoral Scanners in the Shade matching process: a systematic review. J Prosthodont. 2023. https://doi.org/10.1111/jopr.13576.

    Article  PubMed  Google Scholar 

  6. Philippi AG, Sabatini GP, Freitas MS, Oshima SN, Tango RN, Gonçalves T. Clinical tooth Color Matching: in vivo comparisons of Digital Photocolorimetric and Spectrophotometric analyses. Oper Dent. 2023. https://doi.org/10.2341/22-079-C.

    Article  PubMed  Google Scholar 

  7. Loy RCH, Liew MKM, Yong CW, Wong RCW. Validation of low-cost mobile phone applications and comparison with professional imaging systems for three-dimensional facial imaging: a pilot study. J Dent. 2023. https://doi.org/10.1016/j.jdent.2023.104676.

    Article  PubMed  Google Scholar 

  8. Billmeyer FW, Campbell ED, Marcus RT. Comparative performance of color-measuring instruments; second report. Appl Opt. 1974. https://doi.org/10.1364/AO.13.001510.

    Article  PubMed  Google Scholar 

  9. Porter DJ. Global harmonization of spectrophotometric standards. Anal Spectrosc Libr. 1995. https://doi.org/10.1016/S0926-4345(06)80004-0.

    Article  Google Scholar 

  10. Rich DC, Battle D, Malkin F, Williamson C, Ingleson A. Evaluation of the long-term repeatability of reflectance spectrophotometers. Anal Spectrosc Libr. 1995. https://doi.org/10.1016/S0926-4345(06)80012-X.

    Article  Google Scholar 

  11. Berns RS. Billmeyer and Saltzman’s principles of Color Technology. 4th ed. Hoboken: John Wiley & Sons; 2019.

    Book  Google Scholar 

  12. National Physical Laboratory. Measurement good practice guide No.96: surface colour measurements. National Physical Laboratory; 2006.

  13. Haner DA, Menzies RT. Reflectance characteristics of reference materials used in lidar hard target calibration. Appl Opt. 1989. https://doi.org/10.1364/AO.28.000857.

    Article  PubMed  Google Scholar 

  14. International Organization for Standardization. ISO/TR 28642 dentistry—guidance on color measurement. ISO; 2016.

  15. Miura T, Huete AR. Performance of three reflectance calibration methods for airborne hyperspectral spectrometer data. Sensors. 2009. https://doi.org/10.3390/s90200794.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Luo MR, Cui G, Rigg B. The development of the CIE2000 color difference formula: CIEDE2000. Color Res Appl. 2001. https://doi.org/10.1002/col.1049.

    Article  Google Scholar 

  17. CIE Technical Report.: Colorimetry. CIE Pub no 15.3. CIE Central Bureau; 2004.

  18. Paravina RD, Ghinea R, Herrera LJ, Bona AD, Igiel C, Linninger M, et al. Color difference thresholds in dentistry. J Esthet Restor Dent. 2015. https://doi.org/10.1111/jerd.12149.

    Article  PubMed  Google Scholar 

  19. Paravina RD, Pérez MM, Ghinea R. Acceptability and perceptibility thresholds in dentistry: a comprehensive review of clinical and research applications. J Esthet Restor Dent. 2019. https://doi.org/10.1111/jerd.12465.

    Article  PubMed  Google Scholar 

  20. Reule AG. Errors in Spectrophotometry and Calibration procedures to avoid them. J Res Natl Bur Stand a Phys Chem. 1976. https://doi.org/10.6028/jres.080A.060.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

The research did not receive funding of any source.

Author information

Authors and Affiliations

Authors

Contributions

Rubens Nisie Tango: Conceived and/or designed the work that led to the submission, acquired data, and/or played an important role in interpreting the results, Drafted or revised the manuscript, Approved the final version; Claudia Ângela Maziero Volpato: Conceived and/or designed the work that led to the submission, acquired data, and/or played an important role in interpreting the results, Approved the final version; Karina Félix Santos: Conceived and/or designed the work that led to the submission, acquired data, and/or played an important role in interpreting the results, Approved the final version; Paulo Francisco Cesar: Conceived and/or designed the work that led to the submission, acquired data, and/or played an important role in interpreting the results, Approved the final version; Rade Dusan Paravina: Conceived and/or designed the work that led to the submission, acquired data, and/or played an important role in interpreting the results, Drafted or revised the manuscript, Approved the final version.

Corresponding author

Correspondence to Rubens Nisie Tango.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tango, R.N., Maziero Volpato, C., Santos, K.F. et al. Harmonizing color measurements in dentistry using translucent tooth-colored materials. BMC Oral Health 24, 173 (2024). https://doi.org/10.1186/s12903-024-03935-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12903-024-03935-1

Keywords