University of Oulu

Sdobnov, A., Ushenko, V. A., Trifonyuk, L., Bakun, O., Garazdyuk, M., Soltys, I. V., Dubolazov, O., Ushenko, O. G., Ushenko, Y. A., Bykov, A., & Meglinski, I. (2023). 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). https://doi.org/10.1117/1.JBO.28.10.102903

Mueller-matrix imaging polarimetry elevated by wavelet decomposition and polarization-singular processing for analysis of specific cancerous tissue pathology

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Author: Sdobnov, Anton1; Ushenko, Volodymir A.2; Trifonyuk, Liliya3;
Organizations: 1University of Oulu, Opto-Electronics and Measurement Techniques, Oulu, Finland
2Chernivtsi National University, Optics and Publishing Department, Chernivtsi, Ukraine
3Rivne State Medical Center, Rivne, Ukraine
4Zhejiang University, Taizhou Research Institute, College of Electrical Engineering, Hangzhou, China
5Aston University, College of Engineering and Physical Sciences, Birmingham, United Kingdom
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 6.7 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe20230823103784
Language: English
Published: SPIE, 2023
Publish Date: 2023-08-23
Description:

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.

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Series: Journal of biomedical optics
ISSN: 1083-3668
ISSN-E: 1560-2281
ISSN-L: 1083-3668
Volume: 28
Issue: 10
Article number: 102903
DOI: 10.1117/1.JBO.28.10.102903
OADOI: https://oadoi.org/10.1117/1.JBO.28.10.102903
Type of Publication: A1 Journal article – refereed
Field of Science: 114 Physical sciences
Subjects:
Funding: The authors acknowledge the support of the National Research Foundation of Ukraine, Project 2020.02/0061; ATTRACT II META-HiLight project funded by the European Union’s Horizon 2020 research and innovative programme under Grant Agreement No. 101004462, the Academy of Finland (Grant Projects 314639, 325097, 351068), the Leverhulme Trust, and The Royal Society (Ref. No.: APX111232 APEX Awards 2021).
Academy of Finland Grant Number: 325097
351068
Detailed Information: 325097 (Academy of Finland Funding decision)
351068 (Academy of Finland Funding decision)
Copyright information: © 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. [DOI: 10.1117/1.JBO.28.10.102903]
  https://creativecommons.org/licenses/by/4.0/