Algorithms for Polarization-singular processing of Mueller-matrix images of Soft Tissues for Biomedical Applications
Автор: Liliya Diachenko, Edgar Vatamanitsa, Oleksandr Ushenko, Oleksandr Salega, Oleksandra Litvinenko, Zhengbing Hu
Журнал: International Journal of Image, Graphics and Signal Processing @ijigsp
Статья в выпуске: 1 vol.16, 2024 года.
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Traditional methods of imaging Muller-matrix polarimetry ensure obtaining large arrays of experimental data in the form of 16 Muller-matrix images. Processing and comparative analysis of the received information is quite time-consuming and requires a long time. A new algorithmic polarization-singular approach to the analysis of coordinate distributions of matrix elements (Mueller-matrix maps) of polycrystalline birefringent structure of biological tissues is considered. A Mueller-matrix model for describing the optical anisotropy of biological layers is proposed. Analytical correlations between polarization-singular states of the object field and characteristic values of Mueller-matrix images of birefringence soft tissue objects were found. The proposed algorithmic polarization-singular theory is experimentally verified. Examples of polarization singularities networks of Mueller-matrix maps of histological preparations of real tissues of female reproductive sphere are given. Diagnostic possibilities of the developed polarization-singular algorithms in diagnostics and differentiation of the stages of extragenital endometriosis are illustrated. Another area of biomedical diagnostics has been successfully tested: polarization-singular criteria for forensic Mueller-matrix determination of the age of myocardial injury of the deceased have been defined.
Laser, polarization, singularities, mueller matrix, birefringence, biological tissues, statistical analysis
Короткий адрес: https://sciup.org/15018853
IDR: 15018853 | DOI: 10.5815/ijigsp.2024.01.02
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