Scale-Selective Differentiation Of Mueller-Matrix Images Of Polycrystalline Networks Of Biological Tissues And Fluids Of Human Organs

A. Bodnar, B. Bodnar, V. Protsyuk, V. Vasyuk, O. Ushenko, V. Zhytaryuk, V. Ushenko, O. Olar, O. Yatsko
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Abstract

The results are presented: Justification of the analytical possibilities of using wavelet analysis of azimuthally independent coordinate distributions of the values of multifunctional polarization microscopy parameters of optically anisotropic networks of histological sections of biological tissues of the uterine wall and polycrystalline films of the synovial fluid of a human joint with arthritis and osteoarthritis. The use of wavelet analysis of the distributions of the values of the Mueller-matrix invariants characterizing the linear and circular birefringence of the fibrillar network of the cervix and polycrystalline films of the synovial fluid of a human joint with arthritis and osteoarthritis. Identification of opportunities for early diagnosis and differentiation of the severity of precancerous conditions of cervical tissue based on certain relationships between statistical moments of the 1st - 4th orders characterizing the distribution of the amplitudes of wavelet coefficients at different scales of the MHAT function and the distribution of parameters describing phase anisotropy biological layers. Identification of opportunities for early diagnosis and differentiation of the severity of inflammatory conditions of polycrystalline films of synovial fluid of a human joint with arthritis and osteoarthritis.
生物组织和人体器官液体的多晶网络mueller矩阵图像的尺度选择性分化
结果表明:证明了使用小波分析的分析可能性的方位独立坐标分布的价值的多功能偏振显微镜参数的各向异性网络的子宫壁的生物组织的组织学切片和多晶膜的滑膜的人类关节关节炎和骨关节炎。使用小波分析的穆勒矩阵不变量的分布特征的线性和圆形双折射的子宫颈纤维网络和多晶膜的滑膜的人类关节关节炎和骨关节炎。基于表征MHAT函数不同尺度上小波系数振幅分布的1 - 4阶统计矩与描述相位各向异性生物层的参数分布之间的一定关系,识别早期诊断和鉴别宫颈组织癌前病变严重程度的机会。鉴别关节炎和骨关节炎患者关节滑液多晶膜的早期诊断和炎症严重程度的机会。
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