This dissertation describes the design, fabrication and testing of an oblique incidence
diffuse reflectance spectrometry (OIDRS) system for in-vivo and noninvasive detection
of epithelial cancer. Two probes were fabricated using micromachining technology,
which plays a significant role in the probe development by enabling device
miniaturization, low-cost fabrication and precise assembly. The fist probe was developed
and clinically tested for skin cancer detection. This probe consists of three source fibers,
two linear array of collection fibers and four micromachined positioning devices for
accurate alignment of the fibers. The spatially resolved diffuse reflectance spectra from
167 pigmented and 78 non-pigmented skin abnormalities were measured and used to
design a set of classifiers to separate them into benign or malignant ones. These
classifiers perform with an overall classification rate of 91%. The absorption and
reduced scattering coefficient spectra were estimated to link the anatomic and
physiologic properties of the lesions with the optical diagnosis. The melanoma cases
presented larger average absorption and reduced scattering spectra than the dysplastic
and benign ones. A second probe was designed to demonstrate the feasibility of a miniaturized ?side viewing? optical sensor probe for OIDRS. The sensor probe consists
of a lithographically patterned polymer waveguides chip and two micromachined
positioning substrates. This miniaturize probe was used to measure twenty ex-vivo
esophageal samples. Two statistical classifiers were designed to separate the esophageal
cases. The first one distinguishes benign and low dysplastic from high dysplastic and
cancerous lesions. The second classifier separates benign lesions from low dysplastic
ones. Both classifiers generated a classification rate of 100%.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2009-05-269 |
| Date | 16 January 2010 |
| Creators | Garcia-Uribe, Alejandro |
| Contributors | Zou, Jun |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation |
| Format | application/pdf |
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