Analysis of Edge-losses in Reflectance Measurements of Pigmented Maxillofacial Elastomer

Johnston, William M.; Hesse, Nicolas; Davis, Betsy K.; Seghi, Robert R.

doi:10.1177/00220345960750020401

Cited by 83 publications

(59 citation statements)

References 10 publications

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“…However, it has been demonstrated that both spectrophotometric and colorimetric devices can suffer edge loss effects, which happen when a device with a small window measuring a transparent material results in light scattering to the edge of the sample without being detected. Edge-loss is affected by the illuminating beam size and direction, observation geometry, thickness of the specimen, and the reflectance of the backing [20].…”

Section: Introductionmentioning

confidence: 99%

Color difference threshold determination for acrylic denture base resins

Ren

Lin

Huang

et al. 2015

BME

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Abstract. This study aimed to set evaluation indicators, i.e., perceptibility and acceptability color difference thresholds, of color stability for acrylic denture base resins for a spectrophotometric assessing method, which offered an alternative to the visual method described in ISO 20795-1:2013. A total of 291 disk specimens 50±1 mm in diameter and 0.5±0.1 mm thick were prepared (ISO 20795-1:2013) and processed through radiation tests in an accelerated aging chamber (ISO 7491:2000) for increasing times of 0 to 42 hours. Color alterations were measured with a spectrophotometer and evaluated using the CIE L*a*b* colorimetric system. Color differences were calculated through the CIEDE2000 color difference formula. Thirty-two dental professionals without color vision deficiencies completed perceptibility and acceptability assessments under controlled conditions in vitro. An S-curve fitting procedure was used to analyze the 50:50% perceptibility and acceptability thresholds. Furthermore, perceptibility and acceptability against the differences of the three color attributes, lightness, chroma, and hue, were also investigated. According to the S-curve fitting procedure, the 50:50% SHUFHSWLELOLW\ WKUHVKROG ZDV ¨(00 (r 2 =0.88) and the 50:50% DFFHSWDELOLW\ WKUHVKROG ZDV ¨(00 (r 2 =0.89). Within the limitations of this study, 1.71/4.00 ¨E00 could be used as perceptibility/acceptability thresholds for acrylic denture base resins.

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Section: Introductionmentioning

confidence: 99%

Color difference threshold determination for acrylic denture base resins

Ren

Lin

Huang

et al. 2015

BME

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“…36 This edge-loss effect could affect the accuracy of the measurement. 37 A method to minimize the edge-loss effect by the use of plasticine was introduced, 38 producing higher TP values than those obtained by the conventional method. 39 In this study, as the specimen size was much larger than the colorimeter window, the edge-loss effect could be ignored.…”

Section: E86mentioning

confidence: 99%

Evaluation of Resin Composite Translucency by Two Different Methods

Kim¹,

Park

2013

Operative Dentistry

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Composite translucency varies by manufacturer. This information should be considered when selecting materials and clinical techniques to improve clinical performance. SUMMARYThe purpose of this study was 1) to compare the translucency of seven different types of composite materials and three different shade categories (dentin, enamel, and translucent) by determining the translucency parameter (TP) and light transmittance (%T) and 2) to evaluate the correlation between the results of the two evaluation methods. ) from different manufacturers were screened in this study. Ten disk-shaped specimens (10 mm in diameter and 1 mm in thickness) were prepared for each material. For the TP measurements, the colors of each specimen were recorded according to the CIELAB color scale against white and black backgrounds with a colorimeter and used to calculate the TP value. For the %T measurements, the mean direct transmittance through the specimen in the range between 380 and 780 nm was recorded using a spectrometer and computer software. Two-way analysis of variance (ANOVA) tests were performed to compare the TP and %T for the composite materials and shade categories. One-way ANOVA and Tukey tests were used for the seven composite materials per shade category and the three shade categories per composite material. The correlation between the two evaluation methods was determined using the Pearson correlation coefficient. All statistical procedures were performed within a 95% confidence level. TP differed significantly by composite material within each shade category (p,0.05) and by shade category within each composite material (p,0.05). %T differed significantly by composite material within each shade category (p,0.05) and by shade categories within each composite material (p,0.05), except for BF and ES. For the two evaluation methods, TP and %T, were positively correlated (r=0.626, p,0.05). These methods showed strong correlation for each composite

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“…[12][13][14] Many studies have been conducted in the field of prosthetics, where the effect is particularly apparent and can easily result in esthetic issues. 12,[14][15][16][17][18] Edge loss is also known to exert an influence when colorimetry is performed on human skin. 13 Studies of edge loss have shown that the choices of illumination area and measurement area exert major influences on the magnitude of colorimetry results.…”

Section: Introductionmentioning

confidence: 99%

Simple and effective method for measuring translucency using edge loss: optimization of measurement conditions and applications for skin

et al. 2011

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Abstract. We have developed a simple and effective method for everyday measurement of translucency with a handy spectral reflectometer using edge loss. Edge loss can be used to quantify the translucency index in terms of changes in reflectance under two types of measurement conditions. Here, a measurement condition represents the pairing of an illumination area and a measurement area. As a measure of the degree of lateral spread of reflected light, the translucency index can influence the appearance of human skin because this index represents eventual translucency. First, we estimated how edge loss changes when measurement conditions are varied. We then selected the combination of two measurement conditions of large and small edge loss to minimize errors. Finally, we estimated actual skin translucency changes before and after treatments comprising acetone-ether immersion and ultraviolet irradiation. The results were qualitatively consistent with the expectations under variations in absorbance and scattering capacity, indicating the effectiveness of this method in evaluating translucency. This method allows simultaneous measurement of translucency and reflectance as a spectrum, and also appears applicable for daily use, although common optical parameters cannot be derived using this method alone.

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Analysis of Edge-losses in Reflectance Measurements of Pigmented Maxillofacial Elastomer

Cited by 83 publications

References 10 publications

Color difference threshold determination for acrylic denture base resins

Color difference threshold determination for acrylic denture base resins

Evaluation of Resin Composite Translucency by Two Different Methods

Simple and effective method for measuring translucency using edge loss: optimization of measurement conditions and applications for skin

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