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Short-wave infrared optical imaging techniques for the assessment and quantification of dental disease

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TitleInfo
Title
Short-wave infrared optical imaging techniques for the assessment and quantification of dental disease
Name (type = personal)
NamePart (type = family)
Sahyoun
NamePart (type = given)
Christine Charles
DisplayForm
Christine Charles Sahyoun
Role
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author
Name (type = personal)
NamePart (type = family)
Pierce
NamePart (type = given)
Mark C
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Mark C Pierce
Affiliation
Advisory Committee
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chair
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Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
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School of Graduate Studies
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school
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Text
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theses
Genre (authority = ExL-Esploro)
ETD doctoral
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2020
DateOther (encoding = w3cdtf); (qualifier = exact); (type = degree)
2020-01
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English
Abstract (type = abstract)
Periodontal disease and tooth decay are conditions that, if detected early enough, can be corrected or reversed. Visual inspection and radiography are the current standard detection methods for such conditions, and while cracks and caries can be identified with this methodology, dental lesions can only be detected through radiography once the disease has progressed significantly. There is a need for non-invasive, accurate, and quantitative assessment of both dental and periodontal tissue to allow for prompt diagnosis and subsequent treatment. Optical imaging approaches may offer improved assessments because they can provide full-field information from within the first few millimeters of tissue depth, which is appropriate for assessing both tooth layers (enamel and dentin) and gingival tissue. This dissertation is focused on developing optical techniques for quantitatively assessing dental tissue in a non-invasive, non-destructive manner for translation into clinical work.

Optical coherence tomography (OCT) is a technique that uses infrared light to generate cross-sectional images of sub-surface tissue structure. While OCT has been investigated for dental applications, the elements of an OCT system can be configured differently and optimized for the requirements of specific applications, and there are several different commercially available OCT systems that can be used for dental applications. It had not yet been established which combination of system configurations and parameters is best for detection and quantification of enamel indications. Chapters 2 and 3 focus on applications of OCT for hard dental tissue assessment. Chapter 2 provides a detailed comparison of commercially available OCT systems using healthy enamel samples to demonstrate the performance of each system in relation to dental imaging. The systems in Chapter 2 were then utilized for the assessment and quantification of both artificial and natural white spot lesions in Chapter 3. Lesion formation, depth, and heterogeneity were assessed through OCT-established parameters to provide quantitative visualization of white spot lesions that could be used for both clinical identification of lesions and assessment of treatment efficacy.

Spatial frequency domain imaging (SFDI) is another imaging modality that can be performed with infrared wavelengths to provide absolute quantification of tissue chromophore concentrations, including water. There appears to be only one report directly performing SFDI at short-wave infrared (SWIR) wavelengths for the extraction of water and lipid content, but this work is limited in wavelength range and utilizes measurements at many wavelengths in order to get accurate results. Optimization of both wavelength and spatial frequency choices needs to be conducted to lead to system simplification without sacrificing accuracy of chromophore extraction. Chapters 4 and 5 spotlight SWIR-SFDI for potential use in both oral and dental health evaluation. Chapter 4 details the creation of a SWIR-SFDI system and optimization of wavelength and spatial frequency selection for accurate extraction of water and lipid content using phantoms. Chapter 5 utilizes this system to provide a spatially resolved map of reduced scattering for the natural white spot lesion samples from Chapter 3, demonstrating the capability of the SWIR-SFDI system to provide quantitative assessment of hard dental tissue in addition to hydration evaluation.
Subject (authority = local)
Topic
Short-wave infrared imaging
Subject (authority = LCSH)
Topic
Infrared imaging
Subject (authority = LCSH)
Topic
Mouth -- Diseases -- Diagnosis
Subject (authority = RUETD)
Topic
Biomedical Engineering
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Rutgers University Electronic Theses and Dissertations
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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ETD_10445
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doi:10.7282/t3-wzvg-p342
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application/pdf
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text/xml
Extent
1 online resource (xiii, 128 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Location
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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Sahyoun
GivenName
Christine
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-12-12 15:01:01
AssociatedEntity
Name
Christine Sahyoun
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
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Copyright protected
Availability
Status
Open
Reason
Permission or license
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2019-12-16T17:07:18
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