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8 July 2023 Mueller-matrix imaging polarimetry elevated by wavelet decomposition and polarization-singular processing for analysis of specific cancerous tissue pathology
Anton Sdobnov, Volodymir A. Ushenko, Liliya Trifonyuk, Oksana Bakun, Marta Garazdyuk, Irina V. Soltys, Olexander Dubolazov, Olexander G. Ushenko, Yuriy A. Ushenko, Alexander Bykov, Igor Meglinski
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Journal of Biomedical Optics, Vol. 28, Issue 10, 102903 (July 2023). https://doi.org/10.1117/1.JBO.28.10.102903
Abstract

Significance

Mueller-matrix polarimetry is a powerful method allowing for the visualization of malformations in biological tissues and quantitative evaluation of alterations associated with the progression of various diseases. This approach, in fact, is limited in observation of spatial localization and scale-selective changes in the poly-crystalline compound of tissue samples.

Aim

We aimed to improve the Mueller-matrix polarimetry approach by implementing the wavelet decomposition accompanied with the polarization-singular processing for express differential diagnosis of local changes in the poly-crystalline structure of tissue samples with various pathology.

Approach

Mueller-matrix maps obtained experimentally in transmitted mode are processed utilizing a combination of a topological singular polarization approach and scale-selective wavelet analysis for quantitative assessment of the adenoma and carcinoma histological sections of the prostate tissues.

Results

A relationship between the characteristic values of the Mueller-matrix elements and singular states of linear and circular polarization is established within the framework of the phase anisotropy phenomenological model in terms of linear birefringence. A robust method for expedited (up to ∼15 min) polarimetric-based differential diagnosis of local variations in the poly-crystalline structure of tissue samples containing various pathology abnormalities is introduced.

Conclusions

The benign and malignant states of the prostate tissue are identified and assessed quantitatively with a superior accuracy provided by the developed Mueller-matrix polarimetry approach.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Anton Sdobnov, Volodymir A. Ushenko, Liliya Trifonyuk, Oksana Bakun, Marta Garazdyuk, Irina V. Soltys, Olexander Dubolazov, Olexander G. Ushenko, Yuriy A. Ushenko, Alexander Bykov, and Igor Meglinski "Mueller-matrix imaging polarimetry elevated by wavelet decomposition and polarization-singular processing for analysis of specific cancerous tissue pathology," Journal of Biomedical Optics 28(10), 102903 (8 July 2023). https://doi.org/10.1117/1.JBO.28.10.102903
Received: 16 January 2023; Accepted: 14 June 2023; Published: 8 July 2023
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Cited by 6 scholarly publications.
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KEYWORDS
Tissues
Wavelets
Biomedical optics
Polarimetry
Biological samples
Prostate
Tissue optics
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