Ivan Gordey

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

E-mail: hordei.ivan@chnu.edu.ua

Website:

Research Interests: Computer Science & Information Technology, Medical Image Computing

Biography

Ivan Gordey, Post-graduate student at the Computer Science Department of the Institute of Physical and Technical and Computer Sciences at the Yuri Fedkovich Chernivtsi National University. His research interests include digital processing of medical images using computer algorithms of statistical, correlation and fractal analysis.

Author Articles
Multifractal Scaling of Singularity Spectra of Digital Mueller-matrix Images of Biological Tissues: Fundamental and Applied Aspects

By Oleksandr Ushenko Oleksandr Saleha Yuriy Ushenko Ivan Gordey Oleksandra Litvinenko

DOI: https://doi.org/10.5815/ijigsp.2024.02.03, Pub. Date: 8 Apr. 2024

The fundamental component of the work contains a summary of the theoretical foundations of the algorithms of the scale-self-similar approach for the analysis of digital Mueller-matrix images of birefringent architectonics of biological tissues. The theoretical consideration of multifractal analysis and determination of singularity spectra of fractal dimensions of coordinate distributions of matrix elements (Mueller-matrix images - MMI) of biological tissue preparations is based on the method of maxima of amplitude modules of the wavelet transform (WTMM). The applied part of the work is devoted to the comparison of diagnostic capabilities for determining the prescription of mechanical brain injury using algorithms of statistical (central statistical moments of the 1st - 4th orders), fractal (approximating curves to logarithmic dependences of power spectra) and multifractal (WTMM) analysis of MMI linear birefringence of fibrillar networks of neurons of nervous tissue. Excellent (~95%) accuracy of differential diagnosis of the prescription of mechanical injury has been achieved.

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Information Technology for Multiparametric Analysis of Laser Images of Biological Fluid Films in Biomedical Applications

By Yuriy Ushenko Ivan Gordey Yuriy Tomka Irina Soltys Oksana Bakun Zhengbing Hu

DOI: https://doi.org/10.5815/ijigsp.2023.05.06, Pub. Date: 8 Oct. 2023

At the current moment, all developed polarization methods utilize "single-point" statistical analysis algorithms for laser fields. A relevant task is to generalize traditional techniques by incorporating new correlation-based "two-point" algorithms for the analysis of polarization images. Theoretical foundations of the mutual and autocorrelation processing of phase maps of polarization-structural images of samples of dehydrated serum films are given. The maps of a new polarization-correlation parameters, namely complex degree of coherence (CDC) and complex degree of mutual polarization (CDMP) of soft matter layer boundary field by the example of dehydrated serum film samples are investigated. Two groups of representative samples, uterine myoma patients (control group 1) and patients with external genital endometriosis (study group 2), were considered. We applied a complex algorithm of analytical data processing - statistical (1stand 4th central statistical moments), correlation (Gram-Charlie expansion coefficients of autocorrelation functions) and fractal (fractal dimensions) parameters of polarization-correlation parameters maps. Objective markers for diagnosing extragenital endometriosis were found.

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