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Research Papers: Sensing

Distinguishing autofluorescence of normal, benign, and cancerous breast tissues through wavelet domain correlation studies

[+] Author Affiliations
Anita H. Gharekhan, Ashok N. Oza

Gujarat University, C.U. Shah Science College, Ahmedabad-380 009, India

Siddharth Arora

University of Oxford, Department of Mathematics, Oxford OX26HD, United Kingdom

Mundan B. Sureshkumar

The M.S. University of Baroda, Department of Physics, Faculty of Science, Vadodara 390 002, India

Asima Pradhan

Indian Institute of Technology, Department of Physics and Centre for Laser Technology, Kanpur 208016, India

Prasanta K. Panigrahi

Physical Research Laboratory, Navrangpura, Ahmedabad 380009, India

IISER-Kolkata, Mohanpur Campus, BCKV, Mohanpur, 741252, India

J. Biomed. Opt. 16(8), 087003 (August 01, 2011). doi:10.1117/1.3606563
History: Received November 02, 2010; Revised June 07, 2011; Accepted June 10, 2011; Published August 01, 2011; Online August 01, 2011
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Using the multiresolution ability of wavelets and effectiveness of singular value decomposition (SVD) to identify statistically robust parameters, we find a number of local and global features, capturing spectral correlations in the co- and cross-polarized channels, at different scales (of human breast tissues). The copolarized component, being sensitive to intrinsic fluorescence, shows different behavior for normal, benign, and cancerous tissues, in the emission domain of known fluorophores, whereas the perpendicular component, being more prone to the diffusive effect of scattering, points out differences in the Kernel–Smoother density estimate employed to the principal components, between malignant, normal, and benign tissues. The eigenvectors, corresponding to the dominant eigenvalues of the correlation matrix in SVD, also exhibit significant differences between the three tissue types, which clearly reflects the differences in the spectral correlation behavior. Interestingly, the most significant distinguishing feature manifests in the perpendicular component, corresponding to porphyrin emission range in the cancerous tissue. The fact that perpendicular component is strongly influenced by depolarization, and porphyrin emissions in cancerous tissue has been found to be strongly depolarized, may be the possible cause of the above observation.

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© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation

Anita H. Gharekhan ; Siddharth Arora ; Ashok N. Oza ; Mundan B. Sureshkumar ; Asima Pradhan, et al.
"Distinguishing autofluorescence of normal, benign, and cancerous breast tissues through wavelet domain correlation studies", J. Biomed. Opt. 16(8), 087003 (August 01, 2011). ; http://dx.doi.org/10.1117/1.3606563


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