Sullivan, C, Pan, Q, Westland, S orcid.org/0000-0003-3480-4755 et al. (1 more author) (2019) A yellowness index for use in dentistry. Journal of Dentistry, 91. 103244. ISSN 0300-5712
Abstract
Objectives: To develop an equation that predicts the perceptual yellowness of teeth.
Methods: A large set of new psychophysical yellowness data were generated from an experiment where 500 participants each ranked a set of 58 shade guide samples. Two existing equations (WIO and b*) and one new equation (YIO) were evaluated by comparing their values for the 58 shade guide tabs with the psychophysical data. Coefficient of determination (r2), ‘% wrong decisions’, and STRESS were used as measures of performance. The YIO equation was optimized using these data to maximize the r2 value. A validation set of psychophysical data was prepared in an experiment where 40 participants each ranked 5 sets of 9 samples that were viewed on an emissive display. The candidate equations were evaluated using these data and the r2, %WD, and STRESS metrics.
Results: All three metrics YIO, WIO and b* were strongly correlated with perceptual yellowness. YIO and WIO both showed stronger correlation than b*.
Conclusions: A new yellowness equation YIO has been developed to correlate with tooth yellowness. It is suggested that tooth yellowness and whiteness are highly related concepts.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Published by Elsevier Ltd. This is an author produced version of a paper published in Journal of Dentistry. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | tooth color; whiteness; yellowness; tooth whitening |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Funding Information: | Funder Grant number Colgate-Palmolive Company Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Nov 2019 11:40 |
Last Modified: | 12 Nov 2020 01:39 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jdent.2019.103244 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:153409 |