A possible quantitative Mueller matrix transformation technique for anisotropic scattering media/Eine mögliche quantitative Müller-Matrix-Transformations-Technik für anisotrope streuende Medien

He, Honghui; Zeng, Nan; Du, Erdeng; Guo, Yige; Li, Dong-Zhi; Liao, Ran; Ma, Hui

doi:10.1515/plm-2012-0052

Cited by 127 publications

(88 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides the decomposition methods reviewed in the previous sections, Mueller matrix transformation techniques have also been introduced recently to address this issue and have been validated and used in 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 a number of biological tissue studies [125][126][127][128][129][130][131]. The following rotation-independent parameters were proposed based on experimental data and simulation result analysis…”

Section: Azimuthal Angle Insensitive Interpretation Methodsmentioning

confidence: 99%

“…A number of methods including Lu-Chipman's polar decomposition [31], reverse polar decomposition [116], symmetric decomposition [117], differential decomposition [118][119][120][121][122][123] and root decomposition [37,124], Mueller matrix transformation techniques [125][126][127][128][129][130][131], Cloude's sum decomposition [132], serial parallel decomposition [133], etc. have been developed.…”

Section: Interpretation Of Mueller Matrix Into Fundamental Polarizatimentioning

confidence: 99%

See 1 more Smart Citation

Mueller polarimetric imaging for surgical and diagnostic applications: a review

2017

View full text Add to dashboard Cite

Polarization is a fundamental property of light and a powerful sensing tool that has been applied to many areas. A Mueller matrix is a complete mathematical description of the polarization characteristics of objects that interact with light, and is known as a transfer function of Stokes vectors which characterise the state of polarization of light. Mueller polarimetric imaging measures Mueller matrices over a field of view and thus allows for visualising the polarization characteristics of the objects. It has emerged as a promising technique in recent years for tissue imaging, improving image contrast and providing a unique perspective to reveal additional information that cannot be resolved by other optical imaging modalities. This review introduces the basis of the Stokes-Mueller formulism, interpretation methods of Mueller matrices into fundamental polarization properties, polarization properties of biological tissues, and considerations in the construction of Mueller polarimetric imaging devices for surgical and diagnostic applications, including primary configurations, optimization procedures, calibration methods as well as the instrument polarization properties of several widelyused biomedical optical devices. The paper also reviews recent progress in Mueller polarimetric endoscopes and fibre Mueller polarimeters, followed by the future outlook in applying the technique to surgery and diagnostics. Tissue polarization properties convey morphological, micro-structural and compositional information of tissue with great potential for label free characterization of tissue pathological changes. Recent progress in tissue polarimetric imaging and polarization resolved endoscopy paved the way for translation of polarimetric imaging to surgery and tissue diagnosis.

show abstract

Section: Azimuthal Angle Insensitive Interpretation Methodsmentioning

confidence: 99%

Section: Interpretation Of Mueller Matrix Into Fundamental Polarizatimentioning

confidence: 99%

Mueller polarimetric imaging for surgical and diagnostic applications: a review

2017

View full text Add to dashboard Cite

show abstract

“…In our previous study, we pointed out that, for SCBM, spherical scatterers only contribute to depolarization, but cylindrical scatterers contribute to diattenuation, depolarization, and partial retardance (the rest comes from birefringence of the medium). 21 Now we consider the influence of the absorbing coefficient of the surrounding medium by MMPD parameters. Figures 4(a)-4(c) Fig.…”

Section: Resultsmentioning

confidence: 99%

“…12 Two sets of polarization parameters extracted from the Mueller matrix transformation and Mueller matrix polar decomposition (MMPD) techniques have been used to test this model and explain some pathological changes. [16][17][18][19][20][21] However, considering the possible absorption in real biological tissues, it is necessary to include the absorbing effect in this model and explore the consequent change of these polarization parameters. This paper studies the absorption in ambient media and the induced impact on polarization parameters; absorption on the scatterers will be discussed in our further research.…”

Section: Introductionmentioning

confidence: 99%

Study on the influence of optical absorption on polarization characterization of tissues

et al. 2018

Self Cite

View full text Add to dashboard Cite

Absorption effect is a basic optical phenomenon and an important feature in tissue imaging and characterization. Based on our Monte Carlo simulation on the anisotropic tissue model (sphere-cylinder birefringence model), combined with our experiments of tissue phantoms, we demonstrate the influence of absorption effect on Mueller matrix and particularly on depolarization, linear retardance, and diattenuation parameters. The simulation and experimental results show a good consistency on the suppressed depolarization and scatterering induced retardance, and the enhanced diattenuation caused by the absorption, and also indicate the birefringence induced retardance insensitive to the absorption. Study of the phase function of different incident polarized lights and the distribution of scattering number gives a preliminary explanation about the above results. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

show abstract

“…The 3 × 3 Mueller matrix has the advantages of simple system components and wide requirements for light sources and high efficiency . It has been applied to the detection of biological tissues such as human cervical cancer tissues and thyroid cancer tissues .…”

Section: Introductionmentioning

confidence: 99%

Detection of non‐small cell lung cancer cells based on microfluidic polarization microscopic image analysis

Wang

Meng

et al. 2018

Electrophoresis

View full text Add to dashboard Cite

In early diagnosis of lung cancer, a polarization microscopy is a powerful tool to obtain the optical information of biological tissues. In this paper, a new microfluidic polarization imaging and analysis method was proposed for the detection and classification of cancer‐associated fibroblasts and the two kinds of non‐small cell lung cancer cells, A549 and H322. A polarizing microscopy system was constructed based on a commercial microscope to obtain 3*3 Mueller matrix of cells. Based on the Muller matrix decomposition algorithm and analysis in spatial domain and frequency domain, appropriate classification parameters were selected for the characterization of different polarization characteristics of cells. Finally, the logistic regression models based on machine learning were applied to determine optimal feature parameters and classify cells. This method integrated the morphological information of the cells, and the polarization characteristics of the cells in different polarization states. It is for the first time that the polarization microscopic image analysis method has been applied to the detection and classification of non‐small cell lung cancer cells. The results show that the presented microfluidic polarization microscopic image analysis method could classify cells effectively. Compared with the Muller matrix measurement and calculation methods, the method proposed in this paper was greatly simplified in both the acquisition of polarized images and the analysis and processing of polarized images.

show abstract

A possible quantitative Mueller matrix transformation technique for anisotropic scattering media/Eine mögliche quantitative Müller-Matrix-Transformations-Technik für anisotrope streuende Medien

Cited by 127 publications

References 12 publications

Mueller polarimetric imaging for surgical and diagnostic applications: a review

Mueller polarimetric imaging for surgical and diagnostic applications: a review

Study on the influence of optical absorption on polarization characterization of tissues

Detection of non‐small cell lung cancer cells based on microfluidic polarization microscopic image analysis

Contact Info

Product

Resources

About