Assessing appearance in human dental colour space

Rizzi, Alessandro; Bonanomi, Cristian; Brazzoli, S.; Cerutti, Antonio; Kovács-Vajna, Zsolt Miklós

doi:10.1080/21681163.2016.1164079

Cited by 3 publications

(4 citation statements)

References 27 publications

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“…In Appendix, Figure A1, another data representation involving the whole HSV perceived colors and the measured L * a * b * values, transformed in CIExy coordinates is reported . Here, we can see that the perceived AM1 and AM2 colors are still distant from the measured colorimetric values.…”

Section: Discussionmentioning

confidence: 85%

Assessing color of gemstones

Meo

Plutino

Rizzi

2020

Color Research & Application

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A precise and shared description of gemstones color could greatly help their classification and market evaluation, and the key to develop an efficient color evaluation system for gemstones is the creation of a common descriptive language and assessment method. Nowadays, there is a lack of standards for the determination of color of gemstones, and traditional color assessment is exclusively based on the direct visual observation in some cases with lenses and microscopes. The underlying problem is that light impinging gemstones, due to their physical characteristics, produce scattering and multiple reflecting phenomena. This puts the process of gemstone color assessment out of the scope of classic colorimetry. What needs to be assessed is the overall appearance of the gemstone and this explain why, so far, it is realized mainly by visual inspection.

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Section: Discussionmentioning

confidence: 85%

Assessing color of gemstones

Meo

Plutino

Rizzi

2020

Color Research & Application

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“…The device has an excellent repeatability, with errors between successive measurements consistently remaining below 0.3 ΔE94. This is especially noteworthy since the human eye's threshold for detecting color differences on abrupt edges in the dental color space is 0.67 ΔE94 8 . To ensure accuracy and compatibility with the 1 mm hole diameter, the instrument's color measurement surface area was appropriately reduced.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The dental color space is just a small part of the human eye gamut and it is close to the neutral axis. Even if ΔE94 of CIE94 is the most uniform color error formula in the limited human dental space, 8 the simple Euclidean ΔE was preferred, when possible, to avoid non linearities related to human eye sensitivity corrections introduced in CIE94, CIEDE2000 and other formulae. 9 After investigating the physical meaning of the CAP formula and following the experiments of studies Suh et al 10 and Lee et al 11 where color bleeds from the side of a composite resin slab into the material, a new Color Blending Threshold (CBT) was defined.…”

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confidence: 99%

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On color adjustment potential and color blending threshold of dental composite resins

Kovacs‐Vajna,

Manauta,

Tosco

et al. 2024

J Esthet Restor Dent

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ObjectiveColor Adjustment Potential evaluates the color blending of dental Composite Resins. While Color Adjustment Potential is simple, its clinical relevance is unclear. This research aims to understand it better and to create an index for Composite Resins with meaningful clinical interpretation.Materials and MethodsSingle and double shade composite disks of various diameters and opacities were created to test the indices. Color measurements used a dental colorimeter, avoiding subjective assessments. Color Adjustment Potential analysis of each material revealed insights, leading to the creation of a new Color Blending Threshold, providing a clinically relevant numerical value for Composite Resins.ResultsColor Adjustment Potential's numerical significance was clarified and introduced a new index for clinical applications. Color adaptation of each test shade to all Vita shades was also calculated, useful for single‐shade restorations in open and closed cavity types.ConclusionsThe proposed Color Blending Threshold defines the open/closed cavity dimension that can be adequately restored with a single shade of resin composite.Clinical SignificanceUnderstanding how dental materials adapt to surrounding tooth colors enhances esthetic restorations, simplifies shade matching, and optimizes resin composite production. The proposed Color Blending Threshold is a parameter that directly relates to the clinical significance of a material's true color blending ability. It defines the cavity dimension that can be adequately restored with a single shade of resin composite while ensuring that the resulting color difference falls below a predetermined threshold, meeting the clinical requirements for an esthetic restoration.

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Introducing a novel approach to dental color reproduction using AI technology

Awdaljan,

Roque,

Choi

et al. 2024

J Esthet Restor Dent

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ObjectiveThis article aims to describe a systematic method for tooth color reproduction with ceramics restorations employing artificial intelligence (AI) software named Matisse. It provides a comprehensive analysis of the entire process, beginning with shade‐taking and extending to ceramic application in a complex clinical case in the anterior region—specifically, a single central restoration supported by an implant.Clinical ConsiderationsThe clinical case presented highlights the potential of Matisse software for generating ceramic (inSync‐Jensen Dental, USA) and staining (Miyo‐Jensen Dental, USA) recipes over a zirconia abutment (Katana‐Noritake Dental, Japan). This approach achieves an optimal single central restoration utilizing CAD‐CAM and layering techniques.ConclusionsThe systematic method employing the Matisse software achieved accurate color reproduction for a single central restoration supported by an implant. This result was achieved by the dental ceramist within the first attempt and without seeing the patient in the entire process.Clinical SignificanceThe Matisse AI‐assisted protocol offers a systematic and scientifically grounded method for color reproduction in dentistry for indirect restorations.

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Assessing appearance in human dental colour space

Cited by 3 publications

References 27 publications

Assessing color of gemstones

Assessing color of gemstones

On color adjustment potential and color blending threshold of dental composite resins

Introducing a novel approach to dental color reproduction using AI technology

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