Open Access
1 September 2009 Optical properties of dental restorative materials in the wavelength range 400 to 700 nm for the simulation of color perception
Author Affiliations +
Abstract
Aesthetic restorations require dental restorative materials to have optical properties very similar to those of the teeth. A method is developed to this end to determine the optical parameters absorption coefficient μa, scattering coefficient μs, anisotropy factor g, and effective scattering coefficient &mu′s; of dental restorative materials. The method includes sample preparation and measurements of transmittance and reflectance in an integrating sphere spectrometer followed by inverse Monte Carlo simulations. Using this method the intrinsic optical parameters are determined for shade B2 of the light-activated composites TPH® Spectrum®, Esthet-X®, and the Ormocer® Definite® in the wavelength range 400 to 700 nm. By using the determined parameters μa, μs, and g together with an appropriate phase function, the reflectance of samples with 1-mm layer thickness and shade B2 could be predicted with a very high degree of accuracy using a forward Monte Carlo simulation. The color perception was calculated from the simulated reflectance according to the CIELAB system. We initiate the compilation of a data pool of optical parameters that in the future will enable calculation models to be used as a basis for optimization of the optical approximation of the natural tooth, and the composition of new materials and their production process.

1.

Introduction

Dental restorative materials are used for the treatment of caries lesions. An aesthetic restoration should blend in with the tooth, i.e., there should be no visible difference between the restoration material and the treated tooth under all usual types of illumination. This includes all types of artificial light inside a building (lightbulbs, fluorescent lamps, LEDs) especially at the dental technician’s workplace, flashlights (photographs), outdoor light (sun), and also filtered lighting, e.g., in the home garden. This goal can be reached only when the reflection spectra R(λ) of the restorative material and the tooth are the same in the detected/visible wavelength range. For this the optical properties μa(λ) , μs(λ) , and g(λ) of the material must be at least similar to those of tooth tissue.

This requires that the optical properties of both the restorative material and natural teeth1 are known and matched. In routine dentistry, failure to do this is still one of the most common reasons for having to replace restorations.2

Light-activated dental composites are the preferred direct filling materials for aesthetic, tooth-colored restorations. They consist of a matrix with embedded filler particles of various kinds and size. Furthermore they contain several additives such as color pigments. Altogether this leads to a turbid optical appearance.

If other constraints are disregarded and the focus is on the optical appearance, the standard procedure used by manufacturers within the quality control process of dental composite filling materials is the measurement of diffuse reflectance spectra of samples of defined thickness (e.g., 1mm ). The measured data can be calculated on the basis of the L* , a* , b* values following the CIELAB color system (Commission Internationale de l’Eclairage, L*=brightness , a*=chroma along red-green axis, b*=chroma along yellow-blue axis), which enables comparison with color standards.

According to the radiation transport theory,3 the “optical behavior” of turbid media can be described by the optical parameters absorption coefficient μa(λ) , the scattering coefficient μs(λ) , and the anisotropy factor g(λ) , together with an appropriate phase function. The scattering coefficient μs(λ) of a turbid medium describes the probability of a light photon being scattered by a particle within this medium. The scattering phase function, often described by the parameter anisotropy factor g , provides information about the direction of the scattering. It gives a quantitative description of the probability for scattering in the direction of a certain angle. These optical parameters are intrinsic and do not depend on sample geometry and the arrangement of light source and detector. Intrinsic optical parameters cannot be measured directly but can be calculated from the measurable reflectance and transmission spectra by means of an inverse Monte Carlo simulation (iMCS). This is the most precise model to solve the light transport equation if complex boundary conditions prevent the use of analytical solutions.4, 5, 6, 7 The iMCS procedure has been proved to be successful for different tissues,8, 9, 10 but has not yet been applied to dental composite materials, although it is possible to determine the CIELAB L* , a* , b* color values of samples with a given thickness based on the optical parameters.

It was the aim of this study to compile a data pool of the optical parameters to extend the physical understanding of the optical properties of dental composites. By doing this it will enable the application of calculation models as a basis for optimization of the composition of new materials and their optical appearance. A method was developed for the sample preparation and the optical parameters of three different composite materials were determined in the visible wavelength range 400to700nm . The comparison for different “VITA” shades of the material was categorized according to the VITAPAN classical® color scale, which is the most common color coding system for dental materials. The validity of the determined parameters is shown by a comparison of measured reflectance spectra of three samples of different material and arbitrary thickness with those predicted by simulation on the basis of the material dependent optical parameters and the given sample geometry. As an example of the application, a calculation method for determination and prediction of the color perception is presented and evaluated for a sample with a thickness of 1mm , a black background, and the color shade B2, according to the CIELAB color system for given material thickness.

2.

Materials and Methods

2.1.

Dental Materials and Preparation Technique

Three different composite materials manufactured by Dentsply DeTrey (Konstanz, Germany) were investigated, each in the commonly available VITA shades shown in Table 1 . The VITA classification system has letters A to D to classify the groups of color appearance (e.g., yellowish). Within each group, numbers indicate decreasing brightness. The two hybrid composites, TPH Spectrum and Esthet-X, differ in composition with regard to their filler particles, and the ormocer Definite also has a different matrix material. For sample preparation, special preparation tools and a technique using ultrasound were developed to produce homogenous samples of adequate sample thickness and size, without air bubbles and with specular surfaces. For the spectrometric measurements, it was necessary to produce circular specimen disks each with a diameter of 22mm for different sample thicknesses below 500μm . To optimize the measurability of transmission and reflectance spectra TPH Spectrum samples were prepared with a sample thickness of 400 and 250μm for Esthet-X samples and 200μm for Definite samples. Three samples were prepared for each shade making a total of 75 samples. For direct reflectance measurements Rd,meas TPH Spectrum, Esthet-X, and Definite samples of color shade B2 with a thickness of 1000μm were prepared. Samples were cured for 60s in a laboratory VLC polymerization unit (Liculite, Dentsply DeTrey, Konstanz, Germany; VLC, visible light curing). The samples were stored in the dark and at room temperature for 24h to enable them to be completely cured. Samples that showed inhomogeneities or air bubbles or had surface scratches were discarded.

Table 1

Investigated composite resins and color shades.

Composite Resin/ManufacturerClass of CompositeShades(Vitapan Classical® Classification)
Spectrum/Dentsply DeTrey,Konstanzhybrid compositeA1, A2, A3, A3.5, B1, B2, B3, C1,C2, C3
Esthet-X/Dentsply De Trey,Konstanzhybrid compositeA1, A2, A3, A3.5, B1, B2, B3, C2,C3
Definite/Dentsply De Trey,KonstanzormocerA1, A2, A3, A3.5, B2, C2

2.2.

Spectrometer Measurements

To determine the optical parameters, the diffuse reflectance Rd , the total transmission Tt , and the diffuse transmission Td (excluding the collimated transmission and the diffuse transmission within an aperture of 5.3deg ) of the prepared material samples Spectrum, Esthet-X, and Definite were measured in the wavelength range from 400to700nm in 5-nm steps by the integrating sphere technique using an UV/VIS/NIR spectrometer (Lambda 900, Perkin-Elmer Corporation, Norwalk, Connecticut USA). The measurement of Td instead of the usually used collimated transmission allows measurement with only one integrating sphere. The experimental setup, described elsewhere,11, 12 enabled measurement of light transmission and reflectance with an error of less than 0.1%. To prove the validity of the simulated optical parameters and to compare the resulting color perception ( Rd,sim ; L* , a* , b* ), the diffuse reflectance Rd(λ) of the samples Spectrum, Esthet-X, and Definite in the color shade B2 were also measured (Rd,meas) for the sample thickness 1000μm .

2.3.

Monte Carlo Simulation

A specially developed iMCS simulation program was used that also takes into account the geometry of the optical setup and all radiation losses. Simulations with more than 106 photon trajectories for each wavelength were calculated leading to statistical errors of less than 0.15%. Typical standard deviations of three determinations of μa , μs , and 1-g were in the range 3 to 5%. The iMCS used an estimated set of start parameters μa , μs , and g from the Kubelka-Munk theory to calculate the resulting values Rd , Tt , and Td for each wavelength. These were then compared with the experimentally measured Rd , Tt , and Td values at the same wavelength. By systematic variation of μa , μs , and g , deviation of the simulated Rd , Tt , and Td values from the measured ones was minimized until a set of optical parameters were found where the deviations were within the error threshold. Repeating this procedure wavelength by wavelength at 5-nm increments, each within the spectral range of interest leads to a spectrum of μa(λ) , μs(λ) , and g(λ) . Due to the high sensitivity of the simulation, it was possible to fit an adaptable phase function.8, 13 Scattering phase functions that do not describe realistic scattering processes do not enable successful simulations within the error tolerances. The type and parameters of the phase function can be determined by minimizing the error tolerances. These presimulations showed that the Henyey-Greenstein phase function4 was best suited for iMCS of the two hybrid composites, whereas the Reynolds-McCormick phase function7 (with an α factor of 1.5) was best suited for the ormocer. To increase the precision of the simulation, the absorption coefficients μa(λ) , determined on samples with a thickness of between 200 and 400μm (material dependent, see Sec. 2.1), were corrected with measurements of composite samples with 5-mm thickness and a modified iMCS determination of μa(λ) , keeping μs(λ) and g(λ) at predetermined values for the thin samples.

The wavelength-dependent refractive index of the material is an important input parameter for the simulation as it primarily influences the reflection at interfaces5, 14 and therefore the precision of the simulation. As there is very little information available about the refractive index of dental composites, refractive indices of each composite were determined from 400to700nm using an Abbe refractometer. The samples were molded on an optical glass surface to minimize errors due to surface roughness.

2.4.

Determination of the Color Perception Following the CIELAB System

Based on the determined μa , μs , and g values, the diffuse reflectance values Rd for a sample of Esthet-X, Spectrum, and Definite with an arbitrary color shade and thickness (in this case B2 and 1mm ) were calculated using a forward Monte Carlo simulation program. Based on the material-dependent simulated reflectance spectra Rd,sim , the X , Y , and Z standard color values were calculated according to DIN standard 5033 (Ref. 15) in 10-nm steps in the range 400to700nm , with respect to the standard light source D65 and the 2-deg standard observer, and transformed to the L* , a* , b* values according the CIELAB system. Figure 1 shows the principle of the procedure used.

Fig. 1

Scheme of the determination of the color perception based on the optical parameters.

054029_1_034905jbo1.jpg

The determination of the L* , a* , b* values was repeated for samples with a thickness of 1mm and color shade B2 based on measured reflectance spectra. All measured and calculated CIELAB values assume a black background. To compare the CIELAB values of the simulated reflectance spectra with those of the measured ones, color differences ΔEab* were determined between measured and predicted values in accordance with Eq. 1 (DIN standard 6174)16:

Eq. 1

ΔEab*=[(ΔL*)2+(Δa*)2+(Δb*)2]12]],
with ΔL* as the difference between Lsample* and Lreference* , Δa* , and Δb* analogous.

3.

Results and Discussion

3.1.

Determination of the Optical Parameters

Applying the iMCS, in contrast to the Kubelka-Munk method, enables a separation of optical properties into the optical parameters absorption and scattering coefficient with high precision.4 Figure 2 shows the results of the iMCS, i.e., the optical parameters μa(λ) , μs(λ) , g(λ) , and μs(λ) [=μs(1g)] dependent on the wavelength, as for example, for the color shade B2 for all three composite resins.

Fig. 2

Wavelength-dependent comparison of optical parameters of the three composite resins for shade B2.

054029_1_034905jbo2.jpg

The maximum absorption at 400nm is 0.38mm1 for Esthet-X, 0.32mm1 for Spectrum, and 0.17mm1 for Definite. All absorption values decrease below 0.03mm1 at 700nm , leading to the perception of a yellowish color. The ormocer Definite shows the highest μs(λ) of 26mm1 at 400nm and decreases continuously to values about 14mm1 at 700nm . The scattering coefficient of Spectrum decreases from 8to5mm1 within the observed wavelength range. Esthet-X shows μs(λ) of 19mm1 at 400nm decreasing more distinctly than Spectrum to 4mm1 at 700nm . The anisotropy factor g(λ) shows a strong forward scattering of Esthet-X and Definite with values of about 0.8 over the whole spectral range. Definite exhibits extreme forward scattering with values above 0.95 leading to the lowest effective scattering coefficient μs(λ) with values between 1.0 and 0.7mm1 . Esthet-X shows the highest effective scattering with values above 3mm1 at 400nm , whereas Spectrum and Definite are lower, with values of 1.8 and 1.0mm1 at 400nm . The effective scattering of all three resins decreases with wavelength converging to values in the range 0.6 to 0.8 at 700nm .

Figure 3 shows the absorption coefficient depending on wavelength for Esthet-X in 10 different shades according to the VITAPAN classical® system. At 400nm , μa(λ) shows values in the range 0.4to0.6mm1 depending on the shades A1 to C3, whereas at 700nm , the range decreases to values below 0.05mm1 . Scattering coefficient μs(λ) , anisotropy factor g(λ) , and effective scattering cofficient μs(λ) show no significant dependency on the color shades (not shown).

Fig. 3

Absorption coefficient μa of Esthet-X for different shades dependent on the wavelength.

054029_1_034905jbo3.jpg

The decrease of absorption [μa(λ)] and effective scattering [μs(λ)] of all three composite resins with increasing wavelengths is in agreement with the results of other studies which use the Kubelka-Munk method.14, 17 Furthermore, the results support statements made by other authors that absorption takes place in the color pigments or matrix14 and scattering is mainly due to the filler particles.17 There are more differences in μa(λ) of the hybrid composites Spectrum and Esthet-X compared to the ormocer Definite than between Spectrum and Esthet-X which have the same matrix (Fig. 2). Scattering coefficient μs(λ) , anisotropy factor g(λ) , and reduced scattering coefficient μs(λ) are less dependent on shades (data not shown), but differ greatly between the three materials, each containing different filler particles (Fig. 2).

Scattering is more influenced by different sizes and the kinds of filler particles than by the color pigments, the opposite being true for absorption. At short wavelengths from 400to500nm , i.e., the blue part of visible light, Esthet-X shows a steeper curve for the scattering cofficient μs(λ) . From this it can be deduced that for the filler particle size distribution of the materials, Esthet-X contains a larger portion of small filler particles with dimensions relating to the blue wavelength range than the other two composites Spectrum and Definite. The shades of the composite materials were adjusted by the addition of color pigments, e.g., metal oxides. Within the investigated VITA color shades A to C, the degree of brightness is given by the shade numerals 1 to 3 (3.5), guided mainly by the concentration of color pigments. Shades A4, B4, and C4 as well as the range D2 to D4 were not investigated. In support of this, a strong correlation was found at 450nm for the shade numerals and the absorption cofficient μa(λ) after running rank correlation according to Spearman.

The maximum lightness for shade numeral 1 (i.e., A1, B1 and C1) shows the lowest values for the absorption cofficient μa(λ) , focusing on the area of short wavelengths (Fig. 3). The situation changes for longer wavelengths. There was only a low correlation for shade numerals at 660nm and a high correlation for shade letters (color groups). Statistical analysis using the H-test, according to Kruskal und Wallis, showed that significant differentiation of shades with p<0.05 is possible at 450 and 660nm for all optical parameters, except for μs(λ) of Definite at 450nm . Shade numerals within one shade letter could be significantly differentiated for the absorption coefficient μa(λ) at 450nm for all materials, with the exception of C1 to C3 of Esthet-X. There was no significant differentiation at 450nm for the shade letters.

3.2.

Comparison of the Reflectance Spectra

Figure 4 shows a comparison of the simulated and measured wavelength dependent diffuse reflectance Rd(λ) for one sample with a thickness of approx. 1mm and color B2 for each of Esthet-X (d=1092μm) , Spectrum (d=1099μm) , and Definite (d=1032μm) . The Rd(λ) value was directly measured as well as determined by simulation using the forward MCS on the basis of the optical parameters μa(λ) , μs(λ) , and g(λ) using the iMCS and the thickness of the directly measured samples. The comparison shows very good agreement between calculated and measured diffuse reflectance data Rd(λ) . This is also valid for Definite, which shows minimal deviations only at short wavelengths. This result indicates the validity of the determined material dependent optical parameters μa(λ) , μs(λ) , and g(λ) , enabling a valid prediction of the reflectance spectra of a sample of arbitrary thickness and geometry.

Fig. 4

Comparison of the measured and simulated Rd values of the different composites for shade B2 and a sample thickness of approx. 1mm ; Table: Calculated color difference ΔEab* between simulation and measurement. (Color online only.)

054029_1_034905jbo4.jpg

3.3.

Determination of the Color Perception Following the CIELAB System

According to Sec. 2.4, the CIELAB values ΔL* , Δa* , and Δb* can be calculated from simulated or measured Rd values to compare different materials or shades. As an example, Fig. 5 shows the comparison of the calculated CIELAB values for the composite materials Esthet-X, Spectrum and Definite for shade B2 with a 1-mm sample thickness based on the simulated Rd spectra. Perceptible color differences were found between the investigated composites, which were especially large between Esthet-X and Spectrum, as well as between Definite and Esthet-X. Only Spectrum and Definite exhibited values with ΔEab*<2 , which is defined as clinically undistinguishable.18 In general, Esthet-X had a more bluish hue. The exact values for the differences of CIELAB values ΔL* , Δa* , and Δb* , the resulting color perception and the calculated color differences ΔEab* are given in Table 2 .

Fig. 5

CIELAB values of the coordinates L* , a* , and b* for three different composite materials.

054029_1_034905jbo5.jpg

Table 2

The ΔL* , Δa* , and Δb* color perception and color differences ΔEab* of shade B2 using a 1-mm sample thickness for standard light D65 and a 2-deg standard observer.

CIELAB at 1mm Esthet-X to SpectrumEsthet-X to DefiniteDefinite to Spectrum
ΔL* /color perception1.15/lighter 0.25 /darker1.40/lighter
Δa* /color perception 1.64 /more green 0.64 /more green 1.00 /more green
Δb* /color perception 5.48 /more blue 5.48 /more blue0.00/the same
ΔEab* 5.825.511.72

Furthermore, the CIELAB values can be used to compare the perceptible color difference between simulated and measured reflectance spectra. This has been done for the simulated and directly measured Rd spectra shown in Fig. 4. The table in Fig. 4 shows the respective L* , a* , and b* differences. The calculated color differences show values of ΔEab*<0.5 for the hybrid resin composites, which is defined as not visible for 50% of observers.18 Definite exhibits an ΔEab* value of 1.71, which is within the clinically acceptable range of ΔEab*<2 . Grajower 17 used the Kubelka-Munk method to achieve a lower simulation precision with higher ΔEab* deviations in the range of moderate perceptibility ( ΔEab*=1.72 to 4.58). Ikeda 19 also found perceptible color differences with ΔEab* values from 1.7 to 7.4.

4.

Conclusion

A better physical understanding of the optical properties of dental composites was achieved. Also a start was made to compile a data pool for the optical parameters μa(λ) , μs(λ) , and g(λ) in the visible wavelength range 400to700nm of the three dental composites Esthet-X, Spectrum, and Definite for different VITA shades. A combination of the presented methods, including sample preparation, measurement, and simulation, led to a more precise determination of optical properties than the more commonly used Kubelka-Munk method.14, 17, 20

The procedure presented here enables the precise prediction of the diffuse reflectance spectrum of a sample of arbitrary thickness and geometry using knowledge of the optical parameters μa(λ) , μs(λ) , and g(λ) . The (simulated) diffuse reflectance Rd is the essential optical parameter for the comparison of color perception, independent of the light source.

A calculation method was presented, as an example of application, for the determination and prediction of the color perception according to the CIELAB color system from a simulated Rd . Based on the simulation determined optical parameters μa(λ) , μs(λ) , and g(λ) , which are independent of the sample thickness, the reflectance for samples of a 1-mm layer thickness and color B2 could be predicted using the forward Monte Carlo simulation with a high degree of agreement compared to the measured data.

Precise calculation of the color perception from the simulated reflectance spectra could be used, for example, to predict the influence of the layer thickness or variations of sample shape on the observed color shade.

After the investigation of composites, the next step will be to determine the optical parameters of ceramics and human teeth to directly compare the optical properties of artificial restoration materials with natural teeth. Finally, the presented investigation could be advantageous in the field of laser application, providing more detailed knowledge about laser processing and ablation of dental and other polymers. In the future, the determination of optical parameters could be used to influence and control the development of new dental restorative materials by comparing experimental material compositions with existing ones or alternatively with the optical properties of teeth. Furthermore, more information about the absorption and scattering characteristics of the base materials used for composites, i.e., filler, matrix material and color pigments, is required. This could be used to form the basis of a procedure to optimize the composition of new materials and their production process or quality control.

Acknowledgments

The authors would like to acknowledge Dentsply DeTrey, Konstanz, Germany, for supplying composite restorative materials and the visible light curing (VLC) polymerization unit.

References

1. 

D. Spitzer and J. J. ten Bosch, “The absorption and scattering of light in bovine and human dental enamel,” Calcif. Tiss. Res., 17 129 –137 (1975). https://doi.org/10.1007/BF02547285 Google Scholar

2. 

N. H. Wilson, F. J. Burke, and I. A. Mjor, “Reasons for placement and replacement of restorations of direct restorative materials by a selected group of practitioners in the United Kingdom,” Quintessence Int., 28 245 –248 (1997). 0033-6572 Google Scholar

3. 

S. Chandrasekhar, Radiative Transfer, Dover Publications, New York (1960). Google Scholar

4. 

A. Roggan, “Dosimetrie thermischer Laseranwendungen in der Medizin. Untersuchung der optischen Gewebeeigenschaften und physikalisch-mathematische Modellentwicklung,” Fortschritte in der Lasermedizin 16, (1997) Google Scholar

5. 

A. Roggan, H. Albrecht, K. Dörschel, O. Minet, and G. Müller, “Experimental set-up and Monte-Carlo model for the determination of optical properties in the wavelength range 3301100nm,” Proc. SPIE, 2323 21 –36 (1995). https://doi.org/10.1117/12.199205 0277-786X Google Scholar

6. 

M. Hammer, A. Roggan, D. Schweitzer, and G. Müller, “Optical properties of ocular fundus tissue—an in vitro study using double integrating sphere technique,” Phys. Med. Biol., 40 963 –978 (1995). https://doi.org/10.1088/0031-9155/40/6/001 0031-9155 Google Scholar

7. 

A. Roggan, M. Friebel, K. Dörschel, A. Hahn, and G. Müller, “Optical properties of circulating human blood in the wavelength range 4002500nm,” J. Biomed. Opt., 4 36 –46 (1999). https://doi.org/10.1117/1.429919 1083-3668 Google Scholar

8. 

M. Friebel, A. Roggan, G. Müller, and M. Meinke, “Determination of optical properties of human blood in the spectral range 2501100nm using Monte Carlo simulations with hematocrit-dependent effective scattering phase functions,” J. Biomed. Opt., 11 (3), 031021 (2006). https://doi.org/10.1117/1.2203659 1083-3668 Google Scholar

9. 

A. Roggan, K. Dörschel, O. Minet, D. Wolff, and G. Müller, “The optical properties of biological tissues in the near-infrared wavelength range: review and measurements,” Laser-Induced Interstitial Thermotherapy, 10 –44 SPIE Press, Bellingham, WA (1995). Google Scholar

10. 

A. Kienle and R. Steiner, “Determination of the optical properties of tissue by spatially resolved transmission measurements and Monte Carlo calculations,” Proc. SPIE, 2077 142 –152 (1994). https://doi.org/10.1117/12.168024 0277-786X Google Scholar

11. 

K. Weniger, “Optische Eigenschaften von dentalen Kompositfüllungsmaterialien,” (2004). Google Scholar

12. 

M. Meinke, I. Gersonde, M. Friebel, J. Helfmann, and G. Müller, “Chemometric determination of blood parameters using VIS-NIR-spectra,” Appl. Spectrosc., 59 (6), 826 –835 (2005). https://doi.org/10.1366/0003702054280603 0003-7028 Google Scholar

13. 

A. Kienle, F. K. Forster, and R. Hibst, “Influence of the phase function on the determination of the optical properties of biological media,” Proc. SPIE, 4432 40 –47 (2001). https://doi.org/10.1117/12.447156 0277-786X Google Scholar

14. 

C. L. Yeh, Y. Miyagawa, and J. M. Powers, “Optical properties of composites of selected shades,” J. Dent. Res., 61 797 –780 (1982). 0022-0345 Google Scholar

15. 

, DIN-Norm 5033, Farbmessung Teil 1 bis 9, Beuth-Verlag, Berlin (1979– (1992) Google Scholar

16. 

, DIN-Norm 6174, Farbmetrische Bestimmung von Farbabständen bei Körperfarben nach der CIELAB-Formel, Beuth-Verlag, Berlin ( (1979) Google Scholar

17. 

R. Grajower, W. T. Wozniak, and J. M. Lindsay, “Optical properties of composite resin,” J. Oral Rehabil., 9 389 –399 (1982). https://doi.org/10.1111/j.1365-2842.1982.tb01027.x 0305-182X Google Scholar

18. 

R. D. Paravina, Instrumental Color Matching Methods in Dentstry, (1999) Google Scholar

19. 

T. Ikeda, A. Nakanishi, T. Yamamoto, and H. Sano, “Color differences and color changes in vita shade tooth-colored restorative materials,” Am. J. Dent., 16 (6), 381 –384 (2003). 0894-8275 Google Scholar

20. 

M. Taira, M. Okazaki, and J. Takahashi, “Studies on optical properties of two commercial visible-light-cured composite resins by diffuse reflectance measurements,” J. Oral Rehabil., 26 329 –337 (1999). https://doi.org/10.1046/j.1365-2842.1999.00378.x 0305-182X Google Scholar
©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
Moritz Friebel, Kirsten Povel, Hans-Joachim Cappius, Jürgen Helfmann, and Martina C. Meinke "Optical properties of dental restorative materials in the wavelength range 400 to 700 nm for the simulation of color perception," Journal of Biomedical Optics 14(5), 054029 (1 September 2009). https://doi.org/10.1117/1.3250292
Published: 1 September 2009
Lens.org Logo
CITATIONS
Cited by 20 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Monte Carlo methods

Composites

Scattering

Optical properties

Reflectivity

Absorption

Color vision

Back to Top