| Full text | |
| Author(s): |
Silveira, Jr., Landulfo
[1]
;
Bodanese, Benito
[1]
;
Zangaro, Renato Amaro
[1]
;
Pacheco, Marcos Tadeu T.
[1]
Total Authors: 4
|
| Affiliation: | [1] Univ Camilo Castelo Branco UNICASTELO, Ctr Biomed Engn, Nucl Parque Tecnol Sao Jose Campos, BR-12247004 Sao Jose Dos Campos - Brazil
Total Affiliations: 1
|
| Document type: | Journal article |
| Source: | Instrumentation Science & Technology; v. 38, n. 4, p. 268-282, 2010. |
| Web of Science Citations: | 6 |
| Abstract | |
In this work, we applied the discrete wavelet transform (DWT) method as a denoising tool for dispersive Raman spectra of skin samples, and we compared the results obtained with the low-order polynomial fitting in a discriminating model based on principal components analysis (PCA). We used a set of 50 Raman spectra of skin tissue fragments diagnosed as normal (N) (25 spectra) and basocellular cell carcinoma (BCC) (25 spectra). A denoising procedure using DWT and its inverse was employed, and the resulting spectra were compared to denoising using low-order polynomial fitting and adjacent averaging smoothing. The tissue spectral profile showed changes in the intensity of bands below 1400cm-1 for DWT compared to the denoising by polynomial and smoothing. By applying PCA and Mahalanobis distance in both groups processed, we verified that the filtering method does not alter significantly the discrimination of N and BCC tissues. However, the DWT denoising presented an interesting result, which showed the main components after decomposition of the Raman signal used in the reconstruction. (AU) | |
| FAPESP's process: | 09/01788-5 - Dispersive Raman spectroscopy using optical fibers "Raman probe" applied to the diagnosis of neoplasia in the skin and prostate |
| Grantee: | Landulfo Silveira Junior |
| Support Opportunities: | Regular Research Grants |