Paper
3 December 2010 Statistical analysis of biotissues Mueller matrix images in cancer diagnostics
Sergey Yermolenko, Pavlo Ivashko, François Goudail, Ion Gruia
Author Affiliations +
Proceedings Volume 7821, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies V; 78210V (2010) https://doi.org/10.1117/12.881812
Event: Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies, 2010, Constanta, Romania
Abstract
This work is directed to the investigation of the scope of the technique of laser polarimetry and polarization spectrometry of oncological changes of the human prostate tissue under the conditions of multiple scattering. It was shown that the third statistic moment in the intensity distribution proved to be the most sensitive to pathological changes in orientation structure. Its value in the intensity distribution of polarization image I (0 - 90) of oncologically changed tissue is 21 times higher if compared with the similar statistic parameter of the intensity distribution of the healthy tissue. The results of studies of size linear dichroism prostate gland, as healthy and affected by malignant tumor at different stages of its development was presented. Significant difference in the values of linear dichroism and its spectral dependence in the spectral range λ = 280 - 840 nm as between research facilities, and between biotissues - healthy (or affected by benign tumors) and cancer patients was shown. These results may have diagnostic value for detection and assessment of the development of cancer.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sergey Yermolenko, Pavlo Ivashko, François Goudail, and Ion Gruia "Statistical analysis of biotissues Mueller matrix images in cancer diagnostics", Proc. SPIE 7821, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies V, 78210V (3 December 2010); https://doi.org/10.1117/12.881812
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KEYWORDS
Polarization

Tissue optics

Tissues

Prostate

Statistical analysis

Cancer

Diagnostics

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