Presented in this work are the results of investigation aimed at analysis of coordinate distributions for azimuths and ellipticity of polarization (polarization maps) in blood plasma layers laser images of three groups of patients: healthy (group 1), with dysplasia (group 2) and cancer of cervix uteri (group 3). To characterize polarization maps for all groups of samples, the authors have offered to use three groups of parameters: statistical moments of the first to the fourth orders, autocorrelation functions, logarithmic dependences for power spectra related to distributions of azimuths and ellipticity of polarization inherent to blood plasma laser images. Ascertained are the criteria for diagnostics and differentiation of cervix uteri pathological changes.
This work is aimed at ascertaining the possibilities to diagnose and classify the human skin phase inho mogeneous layers (PhILS) of various types (surface scattering-superficial epithelium layer, subsurface scattering-stratified epithelium structures and bulk scattering ones-dermal layer) by determination values and ranges for changing the statistical (moments of the 1st to the 4th orders), correlation (autocor relation functions) and fractal (logarithmic dependences for power spectra) parameters that characterize coordinate distributions for polarization singular states in PhILS laser images.
To characterize the degree of consistency of parameters of the optically uniaxial birefringent protein fibrils nets of biological tissues a new parameter -complex degree of mutual anisotropy is suggested. The technique of polarization measuring the coordinate distributions of the complex degree of mutual anisotropy of biological tissues is developed. It is shown that statistic approach to the analysis of complex degree of mutual anisotropy distributions of skin derma of various optical thicknesses appears to be more sensitive and efficient in differentiation of physiological state in comparison with investigations of complex degree of mutual polarization of the corresponding laser images.
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