Please use this identifier to cite or link to this item:
Deconvolution of light scattering and diffuse reflectance signatures for delineation of mucosal cancer cells using wavelet analysis
|M.S.Q111.H3_4036_r.pdf||Version for non-UH users. Copying/Printing is not permitted||4.38 MB||Adobe PDF||View/Open|
|M.S.Q111.H3_4036_uh.pdf||Version for UH users||4.37 MB||Adobe PDF||View/Open|
|Title:||Deconvolution of light scattering and diffuse reflectance signatures for delineation of mucosal cancer cells using wavelet analysis|
|Authors:||Hernandez, Luis Manuel Ortiz|
|Keywords:||Cancer -- Diagnosis -- Equipment and supplies|
Mucous membrane -- Cancer
|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.|
|Description:||Thesis (M.S.)--University of Hawaii at Manoa, 2005.|
Includes bibliographical references (leaves 71-72).
xii, 89 leaves, bound ill. 29 cm
|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.|
|Appears in Collections:||M.S. - Electrical Engineering|
Items in ScholarSpace are protected by copyright, with all rights reserved, unless otherwise indicated.