Borovkova, Mariia; Peyvasteh, Motahareh; Dubolazov, Olexander; Ushenko, Yurii; Ushenko, Volodymyr; Bykov, Alexander; Deby, Stanislas; Rehbinder, Jean; Novikova, Tatiana; Meglinski, Igor (2018) Complementary analysis of Mueller-matrix images of optically anisotropic highly scattering biological tissues. Journal of the European Optical Society-Rapid Publications201814:20. https://doi.org/10.1186/s41476-018-0085-9
Complementary analysis of Mueller-matrix images of optically anisotropic highly scattering biological tissues
|Author:||Borovkova, Mariia1,2; Peyvasteh, Motahareh1; Dubolazov, Olexander3;|
1Optoelectronics and Measurement Techniques Laboratory, University of Oulu, P.O. Box 4500, 90014 Oulu, Finland
2Department of Photonics and Optical Information Technology, ITMO University, Kronverkskiy Prospect 49, St Petersburg, 197101, Russia
3Yuriy Fedkovych Chernivtsi National University, 2 Kotsubinsky Str, Chernivtsi, 58012, Ukraine
4LPICM, CNRS, Ecole polytechnique, University Paris-Saclay, 91128 Palaiseau, France
5National Research Tomsk State University, Interdisciplinary Laboratory of Biophotonics, Tomsk, 634050, Russia
6Institute of Engineering Physics for Biomedicine (PhysBio), National Research Nuclear University “MEPhI”, Moscow, 115409, Russia
|Online Access:||PDF Full Text (PDF, 1.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018082934303
|Publish Date:|| 2018-08-29
Background: Using optical techniques for tissue diagnostics (so-called ‘optical biopsy’) has been a subject of extensive research for many years. Various groups have been exploring different spectral and/or imaging modalities (e.g. diffuse reflectance spectroscopy, autofluorescence, Raman spectroscopy, optical coherence tomography (OCT), polarized light microscopy, etc.) for biomedical applications. In this paper, we report on using multi-wavelength imaging Mueller polarimetry combined with an appropriated image post-processing for the detection of tissue malignancy.
Methods: We investigate a possibility of complementary analysis of Mueller matrix images obtained for turbid tissue-like scattering phantoms and excised human normal and cancerous colorectal tissue samples embedded in paraffin. Combined application of correlation, fractal and statistical analysis was employed to assess quantitatively the polarization-inhomogeneous scattered fields observed at the surface of tissue samples.
Results: The combined analysis of the polarimetric images of paraffin-embedded tissue blocks has proved to be an efficient tool for the unambiguous detection of tissue malignant transformation. A fractal structure was clearly observed at spatial distributions of depolarization of light scattered in healthy tissues in a visible range of spectrum, while corresponding distributions for cancerous tissues did not show such dependence. We demonstrate that paraffin does not destroy a fractal structure of spatial distribution of depolarization. Thus, the loss of fractality in spatial distributions of depolarization for cancerous tissue is related to the structural changes in the tissue sample induced by cancer itself and, therefore, may serve as a marker of the disease.
Conclusions: The obtained results emphasize that a combined use of statistical, correlation and fractal analysis for the Mueller-matrix image post-processing is an effective approach for an assessment of variations of optical properties in turbid tissue-like scattering media and biological tissues, with a high potential to be transferred to clinical practice for screening cancerous tissue samples.
Journal of the European Optical Society. Rapid publications
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
114 Physical sciences
Authors acknowledge financial support of the international program of Ecole polytechnique “Campagne de chercheurs invités 2015-2016, 2016-2017”, and Academy of Finland (grant projects: 314369 and 290596). MB and MP would like to express sincere thanks to I4Future (Imaging for the Future) doctoral programme, and acknowledge funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No.713606. IM acknowledges partial support provided by Government of Russian Federation (grant 074-U01), MEPhI Academic Excellence Project (Contract No. 02.a03.21.0005), and National Research Tomsk State University Academic D.I. Mendeleev Fund Program.
|EU Grant Number:||
(713606) I4FUTURE - Novel Imaging and Characterisation Methods in Bio, Medical, and Environmental Research and Technology Innovations
|Academy of Finland Grant Number:||
314369 (Academy of Finland Funding decision)
290596 (Academy of Finland Funding decision)
© The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.