Comparative study of Mueller matrix transformation and polar decomposition for optical characterization of turbid media

Iqbal, Muaz; Ahmad, Iftikhar; Khaliq, Ahmar

doi:10.1016/j.ijleo.2020.165508

Cited by 14 publications

(5 citation statements)

References 43 publications

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“…Among the various decomposition approaches, different mathematical assumptions need to be made for different applications 52 – 62 , such as assuming a determined layer sequence of different fundamental polarisation components for a complex object, which in effect simplifies the matrix reciprocity problem 52 . Recently, those methods and related parameters have also been compared quantitatively with each other for the purpose of structural characterisation 170 – 172 . We can summarise the parameters derived via the above methods: MMPD: diattenuation (D), retardance (R) and depolarisation (Δ) (all of them maintain linear/circular components) 52 ; MMT: depolarisation (1-b), level of linear anisotropy (t 1 ), diattenuation property (t 2 ), level of birefringence (t 3 ) and fast axis orientation (x 3 ) and more 16 , 57 ; MMAC: horizontal linear anisotropy (α), 45° linear anisotropy (β) and circular anisotropy (γ) respectively with respect to the global anisotropy of the MM 56 .…”

Section: Vectorial Information Extraction Methods For Biomedical Applicationsmentioning

confidence: 99%

Polarisation optics for biomedical and clinical applications: a review

et al. 2021

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Many polarisation techniques have been harnessed for decades in biological and clinical research, each based upon measurement of the vectorial properties of light or the vectorial transformations imposed on light by objects. Various advanced vector measurement/sensing techniques, physical interpretation methods, and approaches to analyse biomedically relevant information have been developed and harnessed. In this review, we focus mainly on summarising methodologies and applications related to tissue polarimetry, with an emphasis on the adoption of the Stokes–Mueller formalism. Several recent breakthroughs, development trends, and potential multimodal uses in conjunction with other techniques are also presented. The primary goal of the review is to give the reader a general overview in the use of vectorial information that can be obtained by polarisation optics for applications in biomedical and clinical research.

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Section: Vectorial Information Extraction Methods For Biomedical Applicationsmentioning

confidence: 99%

Polarisation optics for biomedical and clinical applications: a review

et al. 2021

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“…Mueller matrix transformation (MMT) techniques provide a quantitative approach for characterizing the Mueller matrix elements in such a way as to evaluate specific properties of the sample, including the microstructure, density and size of the subwavelength scatterers, orientation and alignment of the fibers, presence of scatterers of various shapes and sizes, and so forth. 31,32 Various MMT parameters are available, 33 depending on the particular characteristics of interest. For example, He et al 34 proposed the following four parameters for characterizing the polarization properties of biological tissue samples:…”

Section: Mueller Matrix Transformation Parametersmentioning

confidence: 99%

Analysis of polarization features of human breast cancer tissue by Mueller matrix visualization

Pham,

Ngoc Quach,

2024

J. Biomed. Opt.

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Breast cancer ranks second in the world in terms of the number of women diagnosed. Effective methods for its early-stage detection are critical for facilitating timely intervention and lowering the mortality rate.Aim: Polarimetry provides much useful information on the structural properties of breast cancer tissue samples and is a valuable diagnostic tool. The present study classifies human breast tissue samples as healthy or cancerous utilizing a surfaceilluminated backscatter polarization imaging technique.Approach: The viability of the proposed approach is demonstrated using 95 breast tissue samples, including 35 healthy samples, 20 benign cancer samples, 20 grade-2 malignant samples, and 20 grade-3 malignant samples. Results:The observation results reveal that element m 23 in the Mueller matrix of the healthy samples has a deeper color and greater intensity than that in the breast cancer samples. Conversely, element m 32 shows a lighter color and reduced intensity. Finally, element m 44 has a darker color in the healthy samples than in the cancer samples. The analysis of variance test results and frequency distribution histograms confirm that elements m 23 , m 32 , and m 44 provide an effective means of detecting and classifying human breast tissue samples.Conclusions: Overall, the results indicate that surface-illuminated backscatter polarization imaging has significant potential as an assistive tool for breast cancer diagnosis and classification.

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“…As for the diattenuator polar form, the matter is more complicated. On the one hand, we have diattenuator polar forms proposed in [22,24]. However, in these variants of the diattenuator polar forms, there is no explicit information about the value of the linear and circular amplitude anisotropy.…”

Section: The Mueller Matrix Decompositionsmentioning

confidence: 99%

Mueller-Polarimetry of Barley Leaves II: Mueller Matrix Decompositions

Savenkov,

Oberemok,

Kolomiets

et al. 2024

Photonics

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This paper highlights the application of decomposition methods in Mueller polarimetry for the discrimination of three groups of barley leaf samples from Hordeum vulgare: Chlorina mutant, Chlorina etiolated mutant and Cesaer varieties in the visible wavelength at λ = 632.8 nm. To obtain the anisotropic and depolarizing properties of the samples under study, the additive and multiplicative decompositions of experimental Mueller matrices were used. We show how a rich set of anisotropy and depolarization parameters obtained from decompositions can be used as effective observables for the discrimination between different varieties of the same plant species.

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Comparative study of Mueller matrix transformation and polar decomposition for optical characterization of turbid media

Cited by 14 publications

References 43 publications

Polarisation optics for biomedical and clinical applications: a review

Polarisation optics for biomedical and clinical applications: a review

Analysis of polarization features of human breast cancer tissue by Mueller matrix visualization

Mueller-Polarimetry of Barley Leaves II: Mueller Matrix Decompositions

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