Complementary analysis of Mueller-matrix images of optically anisotropic highly scattering biological tissues

Mariia Borovkova; Motahareh Peyvasteh; Olexander Dubolazov; Yurii Ushenko; Volodymyr Ushenko; Alexander Bykov; Stanislas Deby; Jean Rehbinder; Tatiana Novikova; Igor Meglinski

doi:10.1186/s41476-018-0085-9

Complementary analysis of Mueller-matrix images of optically anisotropic highly scattering biological tissues

Mariia Borovkova^*, Motahareh Peyvasteh, Olexander Dubolazov, Yurii Ushenko, Volodymyr Ushenko, Alexander Bykov, Stanislas Deby, Jean Rehbinder, Tatiana Novikova, Igor Meglinski

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

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. Conclusion: 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.

Original language	English
Article number	20
Journal	Journal of the European optical society
Volume	14
Issue number	1
DOIs	https://doi.org/10.1186/s41476-018-0085-9
Publication status	Published - 17 Aug 2018

Bibliographical note

© The Author(s). 2018 Open Access 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.

Keywords

Correlation and fractal image analysis
Mueller matrix
Multiple scattering
Optical anisotropy
Polarimetry
Statistical

Access to Document

10.1186/s41476-018-0085-9Licence: CC BY 3.0

Complementary analysis of Mueller-matrix imagesFinal published version, 1.84 MBLicence: CC BY 3.0

Cite this

@article{7141f7bb526543b9bf788a188acbcd25,

title = "Complementary analysis of Mueller-matrix images of optically anisotropic highly scattering biological tissues",

abstract = "Background: Using optical techniques for tissue diagnostics (so-called {\textquoteleft}optical biopsy{\textquoteright}) 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. Conclusion: 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.",

keywords = "Correlation and fractal image analysis, Mueller matrix, Multiple scattering, Optical anisotropy, Polarimetry, Statistical",

author = "Mariia Borovkova and Motahareh Peyvasteh and Olexander Dubolazov and Yurii Ushenko and Volodymyr Ushenko and Alexander Bykov and Stanislas Deby and Jean Rehbinder and Tatiana Novikova and Igor Meglinski",

note = "{\textcopyright} The Author(s). 2018 Open Access 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.",

year = "2018",

month = aug,

day = "17",

doi = "10.1186/s41476-018-0085-9",

language = "English",

volume = "14",

journal = "Journal of the European optical society",

issn = "1990-2573",

publisher = "IOP Publishing Ltd.",

number = "1",

}

TY - JOUR

T1 - Complementary analysis of Mueller-matrix images of optically anisotropic highly scattering biological tissues

AU - Borovkova, Mariia

AU - Peyvasteh, Motahareh

AU - Dubolazov, Olexander

AU - Ushenko, Yurii

AU - Ushenko, Volodymyr

AU - Bykov, Alexander

AU - Deby, Stanislas

AU - Rehbinder, Jean

AU - Novikova, Tatiana

AU - Meglinski, Igor

N1 - © The Author(s). 2018 Open Access 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.

PY - 2018/8/17

Y1 - 2018/8/17

N2 - 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. Conclusion: 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.

AB - 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. Conclusion: 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.

KW - Correlation and fractal image analysis

KW - Mueller matrix

KW - Multiple scattering

KW - Optical anisotropy

KW - Polarimetry

KW - Statistical

UR - http://www.scopus.com/inward/record.url?scp=85051674843&partnerID=8YFLogxK

UR - https://jeos.springeropen.com/articles/10.1186/s41476-018-0085-9

U2 - 10.1186/s41476-018-0085-9

DO - 10.1186/s41476-018-0085-9

M3 - Article

AN - SCOPUS:85051674843

SN - 1990-2573

VL - 14

JO - Journal of the European optical society

JF - Journal of the European optical society

IS - 1

M1 - 20

ER -

Complementary analysis of Mueller-matrix images of optically anisotropic highly scattering biological tissues

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this