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Background removal from polarized Raman spectra of tooth enamel using the wavelet transform
Author(s) -
Li Jianghua,
ChooSmith LinP'ing,
Tang Zhilie,
Sowa Michael G.
Publication year - 2011
Publication title -
journal of raman spectroscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.748
H-Index - 110
eISSN - 1097-4555
pISSN - 0377-0486
DOI - 10.1002/jrs.2761
Subject(s) - raman spectroscopy , enamel paint , wavelet transform , wavelet , noise (video) , materials science , spectral line , transformation (genetics) , analytical chemistry (journal) , optics , nuclear magnetic resonance , chemistry , artificial intelligence , computer science , physics , image (mathematics) , chromatography , biochemistry , astronomy , composite material , gene
A wavelet transformation method is introduced to remove the large fluorescence background from polarized Raman spectra of stained tooth enamel. This method exploits the wavelet multiresolution decomposition where the experimental Raman spectrum is decomposed into signals with different frequency components, and where the lowest frequency background and highest frequency noise are removed. This method is optimized using a simulated collection of parallel‐polarized and cross‐polarized Raman spectra of the enamel and then applied to a set of experimental data. The results show that the wavelet transform technique can extract the pure spectra from background and noise, with the depolarization ratio used to discriminate between early dental caries and sound enamel preserved. Copyright © 2010 Crown in the right of Canada. Published by John Wiley & Sons, Ltd.