Tooth whitening is becoming popular in the world today due to peoples' increased awareness of their cosmetic appearance. Tooth whitening is usually achieved either by the physical removal of stain using abrasives or by chemically reducing it with the help of bleaching agents. Product evaluations have been carried out by different investigators and manufacturers to assess the whitening efficacy of different products. Techniques employed in product testing should be standard, reliable, precise and accurate so that meaningful comparisons may be carried out. Tooth whitening and stain has been conventionally assessed by means of visual techniques with the help of shade guides and stain indices. Emergence of instrumental techniques has reduced the subjectivity of conventional techniques and has also provided more standardised methods and parameters for product evaluation. The present clinical studies investigate two novel digital techniques for their suitability to assess and quantify tooth colour and stain. A White Light Digital Imaging system was tested for its capability to assess tooth colour and stain. A novel . Fluorescence Imaging system (Quantitative Light Induced Fluorescence system) was investigated for its suitability to quantify stain. Clinical implementation of a novel whiteness index was also tested for its ability to measure tooth colour and stain. The digital techniques and the parameters were investigated for their ability to assess tooth colour and stain with the help of clinical trials through product evaluation and comparison. The proposed Whiteness Index was concluded as a more appropriate index, amongst the colour parameters, to measure differences in tooth whiteness. The White Light Digital Imaging system was efficient in measuring tooth colour and diffused stain. QLF was concluded as more suitable in detecting and quantifying well defined stain areas on the tooth surface.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:491147 |
| Date | January 2008 |
| Creators | Mohan, Naveen |
| Publisher | University of Manchester |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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