Deconvolution of light scattering and diffuse reflectance signatures for delineation of mucosal cancer cells using wavelet analysis

dc.contributor.author Hernandez, Luis Manuel Ortiz
dc.date.accessioned 2011-07-21T23:08:34Z
dc.date.available 2011-07-21T23:08:34Z
dc.date.issued 2005
dc.description Thesis (M.S.)--University of Hawaii at Manoa, 2005.
dc.description Includes bibliographical references (leaves 71-72).
dc.description xii, 89 leaves, bound ill. 29 cm
dc.description.abstract This thesis presents a technique to measure cells using a Fabry-Perot optical model along with wavelet decomposition applied to the reflected or transmitted optical spectrum. Cell size measurement is used as an indicator in early diagnosis of cancer. This research is based on developing a non-invasive, optical system to detect dysplasia in mucosal tissues; this is achieved by analysis of the reflectance or transmittance spectrum to determine the mutated cells' sizes. The collected spectrum contains information about the cell's internal structure. To decode this information, an optical cell model was formulated to create a custom mother wavelet to be used to deconvolve the absorption and light scattering components of the collected spectra. Finally, the previous results are fitted to different models for prediction, of cell sizes and the results with the least error are presented as a Gaussian distribution.
dc.identifier.uri http://hdl.handle.net/10125/20548
dc.language.iso en-US
dc.relation Theses for the degree of Master of Science (University of Hawaii at Manoa). Electrical Engineering; no. 4036
dc.rights All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
dc.subject Cancer -- Diagnosis -- Equipment and supplies
dc.subject Mucous membrane -- Cancer
dc.title Deconvolution of light scattering and diffuse reflectance signatures for delineation of mucosal cancer cells using wavelet analysis
dc.type Thesis
dc.type.dcmi Text
Files
Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
M.S.Q111.H3_4036_r.pdf
Size:
4.27 MB
Format:
Adobe Portable Document Format
Description:
Version for non-UH users. Copying/Printing is not permitted
No Thumbnail Available
Name:
M.S.Q111.H3_4036_uh.pdf
Size:
4.27 MB
Format:
Adobe Portable Document Format
Description:
Version for UH users