A. Bodnar, B. Bodnar, V. Protsyuk, V. Vasyuk, O. Ushenko, V. Zhytaryuk, V. Ushenko, O. Olar, O. Yatsko
{"title":"Scale-Selective Differentiation Of Mueller-Matrix Images Of Polycrystalline Networks Of Biological Tissues And Fluids Of Human Organs","authors":"A. Bodnar, B. Bodnar, V. Protsyuk, V. Vasyuk, O. Ushenko, V. Zhytaryuk, V. Ushenko, O. Olar, O. Yatsko","doi":"10.1109/KhPIWeek51551.2020.9250082","DOIUrl":null,"url":null,"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.","PeriodicalId":115140,"journal":{"name":"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KhPIWeek51551.2020.9250082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.