Model-based analysis of tissue reflectance and autofluorescence for improved cancer detection

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dc.contributor.advisorMatsuda, Seiichi P. T.en_US
dc.creatorWeber, Crystal Elaineen_US
dc.date.accessioned2018-12-03T18:33:26Zen_US
dc.date.available2018-12-03T18:33:26Zen_US
dc.date.issued2009en_US
dc.description.abstractImproving early detection of cancer represents the most promising opportunity to reduce the mortality and morbidity of cancer. This thesis presents model-based analysis of tissue reflectance and autofluorescence which is used to improve our understanding of the biological basis of tissue spectra in the uterine cervix and oral cavity. An analytical model to extract biologically and diagnostically relevant parameters from clinical measurements of cervical tissue is developed, validated, and implemented. In addition, Monte Carlo based models are used to investigate the effect of dysplastic progression and benign inflammation on oral cavity spectra. Results show depth-sensitive spectroscopy may be able to improve cancer detection and be used as an adjunct to wide field imaging where inflammation causes decreased specificity.en_US
dc.format.extent118 ppen_US
dc.identifier.callnoTHESIS CHEM. 2010 WEBERen_US
dc.identifier.citationWeber, Crystal Elaine. "Model-based analysis of tissue reflectance and autofluorescence for improved cancer detection." (2009) Diss., Rice University. <a href="https://hdl.handle.net/1911/103748">https://hdl.handle.net/1911/103748</a>.en_US
dc.identifier.digital751537733en_US
dc.identifier.urihttps://hdl.handle.net/1911/103748en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectBiomedical engineeringen_US
dc.subjectApplied sciencesen_US
dc.subjectAutofluorescenceen_US
dc.subjectCancer detectionen_US
dc.subjectTissue reflectanceen_US
dc.titleModel-based analysis of tissue reflectance and autofluorescence for improved cancer detectionen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentChemistryen_US
thesis.degree.disciplineNatural Sciencesen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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