Optical anisotropy composition of benign and malignant prostate tissues revealed by Mueller-matrix imaging

Abstract

A Mueller matrix imaging approach is employed to disclose the three-dimensional composition framework of optical anisotropy within cancerous biotissues. Visualized by the Mueller matrix technique spatial architecture of optical anisotropy of tissues is characterised by high-order statistical moments. Thus, quantitative analysis of the spatial distribution of optical anisotropy, such as linear and circular birefringence and dichroism, is revealed by using high-order statistical moments, enabling definitively discriminate prostate adenoma and carcinoma. The developed approach provides greater (>90%) accuracy of diagnostic achieved by using either the 3-rd or 4-th order statistical moments of the linear anisotropy parameters. Noticeable difference is observed between prostate adenoma and carcinoma tissue samples in terms of the extinction coefficient and the degree of depolarisation. Juxtaposition to other optical diagnostic modalities demonstrates the greater accuracy of the approach described herein, paving the way for its wider application in cancer diagnosis and tissue characterization.

Publication DOI: https://doi.org/10.1364/BOE.464420
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
Aston University (General)
Additional Information: Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License [https://creativecommons.org/licenses/by/4.0/]. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Funding: Royal Society (APX111232); National Research Foundation of Ukraine (2020.02/0061); ATTRACT Horizon 2020 Framework Programme for Research and Innovation (1010004462); Academy of Finland (314639, 325097, 351068).
Publication ISSN: 2156-7085
Last Modified: 02 Dec 2024 08:46
Date Deposited: 16 Dec 2022 13:16
Full Text Link:
Related URLs: https://opg.opt ... =boe-13-11-6019 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2022-11-01
Published Online Date: 2022-10-25
Accepted Date: 2022-09-18
Authors: Sieryi, Oleksii
Ushenko, Yuriy
Ushenko, Volodimir
Dubolazov, Olexander
Syvokorovskaya, Anastasia V.
Vanchulyak, Oleh
Ushenko, Alexander G.
Gorsky, Mykhailo
Tomka, Yuriy
Bykov, Alexander
Yan, Wenjun
Meglinski, Igor (ORCID Profile 0000-0002-7613-8191)

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