Liliya Diachenko

Work place: Computer Science Department, Yuriy Fedcovitch Chernivtsi National University, Chernivtsi, 58002, Ukraine

E-mail: l.diachenko@chnu.edu.ua

Website:

Research Interests: Simulation, Computer Science & Information Technology

Biography

Liliia Diachenko, Assistant professor at the Software Department of the Institute of Physical and Technical and Computer Sciences at the Yuri Fedkovich Chernivtsi National University. Her research interests include computer simulation of the native point defects structure in CdTe and software for its optical recognition.

Author Articles
Algorithms for Polarization-singular processing of Mueller-matrix images of Soft Tissues for Biomedical Applications

By Liliya Diachenko Edgar Vatamanitsa Oleksandr Ushenko Oleksandr Salega Oleksandra Litvinenko Zhengbing Hu

DOI: https://doi.org/10.5815/ijigsp.2024.01.02, Pub. Date: 8 Feb. 2024

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.

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