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Development of an optical imaging platform for assessment of tooth color and whiteness
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Minchala Remache, Meagan. Development of an optical imaging platform for assessment of tooth color and whiteness. Retrieved from https://doi.org/doi:10.7282/t3-398e-z283

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TitleDevelopment of an optical imaging platform for assessment of tooth color and whiteness
NameMinchala Remache, Meagan (author); Pierce, Mark (chair); Boustany, Nada (member); Niu, Simiao (member); Rutgers University; School of Graduate Studies
Date Created2023
Other Date2023-05 (degree)
SubjectBiomedical engineering, Teeth -- Discoloration -- Diagnosis, Dental instruments and apparatus
Extent69 pages : illustrations
DescriptionThe two most common devices to measure tooth color in dental applications are shade guides (a visual comparison) and colorimeters (a quantitative comparison). Shade guides are subjective, difficult to convert into a useful digital file type, and metrics cannot be easily converted to a standard color scale to quantify whiteness. Colorimeters can provide quantitative color measurements, but usually only at a single location on a sample. Digital color cameras offer the potential to achieve quantification of sample color mapped across an entire field of view but typically provide only three overlapping red / green / blue spectral channels. This project aims to create an optical imaging system using a new polarization-sensitive color camera to perform color and whiteness index measurements using the CIELAB color space. Values obtained from the camera setup were compared to measurements obtained from a commercial colorimeter (Optishade). The system was calibrated and validated using standard test objects (ColorChecker CG1 and VITA teeth), then tested using six bovine teeth which underwent staining and whitening.
After the bovine teeth were stained by immersion in coffee, there was a mean decrease in whiteness of 3.80% and mean change in L*a*b* color of 3.16% (n = 6). After whitening with a 30% hydrogen peroxide solution, there was a mean increase in whiteness of 5.98% and mean change in L*a*b* color of 4.30%, relative to tooth color after the staining experiment. The polarization camera system gave a mean relative error of 4.91% in L* value, 30.95% in a* value, and 8.21% in b* value when comparing the staining experiment results to the Optishade values. The polarization camera system gave mean relative errors of 7.57% in L* value, 20.37% in a* value, and 6.67% in b* value when comparing the post-whitening color to the Optishade values.
In summary, the methods developed in this project provide a foundation for using a new polarization-sensitive color camera for quantitative spatial mapping of tooth color and whiteness. Future studies may focus on decreasing errors in the measured L*a*b* values and using the camera’s different polarization images, which can carry information about light returning from superficial and deep layers of the tooth.
NoteM.S.
NoteIncludes bibliographical references
Genretheses
Persistent URLhttps://doi.org/doi:10.7282/t3-398e-z283
LanguageEnglish
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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