Micro-polarimetry for pre-clinical diagnostics of pathological changes in human tissues

Andrzej Golnik; Natalia Golnik; Tadeusz Pałko; Tomasz Sołtysiński

doi:10.1117/12.797125

22 April 2008 Micro-polarimetry for pre-clinical diagnostics of pathological changes in human tissues

Andrzej Golnik, Natalia Golnik, Tadeusz Pałko, Tomasz Sołtysiński

Proceedings Volume 7008, Eighth International Conference on Correlation Optics; 70081X (2008) https://doi.org/10.1117/12.797125
Event: Eighth International Conference on Correlation Optics, 2007, Chernivsti, Ukraine

Abstract

The paper presents a practical study of several methods of image analysis applied to polarimetric images of regular and malignant human tissues. The images of physiological and pathologically changed tissues from body and cervix of uterus, intestine, kidneys and breast were recorded in transmitted light of different polarization state. The set up of the conventional optical microscope with CCD camera and rotating polarizer's were used for analysis of the polarization state of the light transmitted through the tissue slice for each pixel of the camera image. The set of images corresponding to the different coefficients of the Stockes vectors, a 3×3 subset of the Mueller matrix as well as the maps of the magnitude and in-plane direction of the birefringent components in the sample were calculated. Then, the statistical analysis and the Fourier transform as well as the autocorrelation methods were used to analyze spatial distribution of birefringent elements in the tissue samples. For better recognition of tissue state we proposed a novel method that takes advantage of multiscale image data decomposition The results were used for selection of the optical characteristics with significantly different values for regular and malignant tissues.

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Andrzej Golnik, Natalia Golnik, Tadeusz Pałko, and Tomasz Sołtysiński "Micro-polarimetry for pre-clinical diagnostics of pathological changes in human tissues", Proc. SPIE 7008, Eighth International Conference on Correlation Optics, 70081X (22 April 2008); https://doi.org/10.1117/12.797125

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KEYWORDS

Tissues

Breast

Cancer

Polarizers

Statistical analysis

Polarization

Fourier transforms

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