Paper
23 February 2010 Characterizing polarized autofluorescence of normal and benign tissues using singular value decomposition and wavelet transform
Anita H. Gharekhan, Siddharth Arora, Ashok N. Oza, M. B. Sureshkumar, Asima Pradhan, Prasanta K. Panigrahi
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Abstract
A systematic investigation of the polarization characteristics of the auto-fluorescence of normal and benign human breast tissues is carried out complementing our earlier studies on normal and cancer tissues. Co- and cross-polarized auto-fluorescence are collected in the 500 to 700nm range through excitation at 488nm using laser as excitation source. A number of parameters, capturing spectral variations are extracted in the co- and cross-polarized channels through singular value decomposition and wavelet decomposition, which differentiate normal and benign tissues. The correlation matrix differs significantly in normal and benign tissues reflecting the presence of different fluorophores. The eigenvectors corresponding to the dominant eigenvalues reveal differences between tissue types. The co-polarized component being sensitive to intrinsic fluorescence shows different behavior for normal and benign tissues in the emission domain of known fluorophores. Interestingly, the benign tissue samples show correlation properties intermediate to malignant and normal cases. In the wavelet domain the standard deviation of percentage fluctuation reveal differences between tissues type. The correlation characteristics manifest prominently in the wavelet low pass (average) domain.
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Anita H. Gharekhan, Siddharth Arora, Ashok N. Oza, M. B. Sureshkumar, Asima Pradhan, and Prasanta K. Panigrahi "Characterizing polarized autofluorescence of normal and benign tissues using singular value decomposition and wavelet transform", Proc. SPIE 7563, Dynamics and Fluctuations in Biomedical Photonics VII, 756308 (23 February 2010); https://doi.org/10.1117/12.842147
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KEYWORDS
Tissues

Luminescence

Wavelets

Wavelet transforms

Principal component analysis

Tumors

Breast

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