Optical reflectance spectroscopy for cancer diagnosis : analysis and modeling

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Title: Optical reflectance spectroscopy for cancer diagnosis : analysis and modeling
Author: Kan, Chih-Wen
Abstract: This dissertation focuses on the development of algorithms for analyzing and modeling of the signals from optical spectroscopy . This dissertation is motivated by the detection of oral cancer , but some of the methods developed can be generalized to epithelial cancers of other sites . Two main topics are covered in this dissertation : Analysis and Modeling . For analysis , the focus is on developing algorithms to make diagnostic predictions . The analysis methods are empirically tested using an oral cancer dataset . Statistical analyses show that polarized reflectance spectroscopy has the potential to aid screening and diagnosis of oral cancer . Also , a novel adaptive windowing technique is developed to extract spectral features with fewer windows that retain the diagnostic information . For modeling , a Monte Carlo model simulating light -tissue interactions is presented to aid in the design of diagnostic instrumentation .
URI: http : / /hdl .handle .net /2152 /ETD -UT -2010 -12 -2047
Date: 2011-01-24

Citation

Optical reflectance spectroscopy for cancer diagnosis : analysis and modeling. Doctoral dissertation, University of Texas at Austin. Available electronically from http : / /hdl .handle .net /2152 /ETD -UT -2010 -12 -2047 .

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