Two-dimensional backscattering Mueller matrix of sphere–cylinder birefringence media

Du, Erdeng; He, Honghui; Zeng, Nan; Guo, Yige; Liao, Ran; He, Yonghong; Ma, Hui

doi:10.1117/1.jbo.17.12.126016

Cited by 50 publications

(51 citation statements)

References 20 publications

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“…Also, for the thin slices of 28 μm thickness, birefringence plays the dominant role in the Mueller matrix measurements compared to the scattering. To simulate the destruction of birefringent structures due to the cancerous process, we change the value of the birefringence Δn from 0.001 to 0.002 and 0.003 [30,31], the optical axis is in the X-Y plane, along the x-axis (0-degree) direction. As shown in Fig.…”

Section: Monte Carlo Simulation Resultsmentioning

confidence: 99%

“…We use the sphere-cylinder birefringence model (SCBM) to mimic biological tissues and the Monte Carlo (MC) simulation program to track the trajectories and polarization states of scattered photons as they propagate in the medium [29,30]. The SCBM contains three key components: spherical scatterers, infinitely long cylindrical scatterers, and a birefringent interstitial medium, representing different microscopic structures and optical properties of turbid media.…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

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Characterizing microstructures of cancerous tissues using multispectral transformed Mueller matrix polarization parameters

He¹,

He²,

Chang³

et al. 2015

Biomed. Opt. Express

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110

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Abstract:In this paper, we take the transmission 3 × 3 linear polarization Mueller matrix images of the unstained thin slices of human cervical and thyroid cancer tissues, and analyze their multispectral behavior using the Mueller matrix transformation (MMT) parameters. The experimental results show that for both cervical and thyroid cancerous tissues, the characteristic features of multispectral transmitted MMT parameters can be used to distinguish the normal and abnormal areas. Moreover, Monte Carlo simulations based on the sphere-cylinder birefringence model (SCBM) provide additional information of the relations between the characteristic spectral features of the MMT parameters and the microstructures of the tissues. Comparisons between the experimental and simulated data confirm that the contrast mechanism of the transmission MMT imaging for cancer detection is the breaking down of birefringent normal tissues for cervical cancer, or the formation of birefringent surrounding structures accompanying the inflammatory reaction for thyroid cancer. It is also testified that, the characteristic spectral features of polarization imaging techniques can provide more detailed microstructural information of tissues for diagnosis applications. properties and effect of wavelength choice on differentiation between ex vivo normal and cancerous gastric samples," J.

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Section: Monte Carlo Simulation Resultsmentioning

confidence: 99%

Section: Monte Carlo Simulationmentioning

confidence: 99%

Characterizing microstructures of cancerous tissues using multispectral transformed Mueller matrix polarization parameters

He¹,

He²,

Chang³

et al. 2015

Biomed. Opt. Express

Self Cite

110

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show abstract

“…22,23 Recently, SCSM has been expended to the comprehensive sphere-cylinder birefringence model (SCBM) to take into account of birefringent ambient medium. 24 A good agreement between the experimental and Monte Carlo simulated results has shown that the SCBM is a potentially powerful tool for biomedical imaging and diagnostic studies.…”

Section: Introductionmentioning

confidence: 61%

“…20,24 In Monte Carlo simulations for SCBM, the program starts by launching a normal incident photon at an initial position and direction. The polarization state of this photon is represented by a Stokes vector.…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

Characteristic Features of Mueller Matrix Patterns for Polarization Scattering Model of Biological Tissues

Zeng

et al. 2014

J. Innov. Opt. Health Sci.

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We developed a model to describe polarized photon scattering in biological tissues. In this model, tissues are simpli¯ed to a mixture of scatterers and surrounding medium. There are two types of scatterers in the model: solid spheres and in¯nitely long solid cylinders. Variables related to the scatterers include: the densities and sizes of the spheres and cylinders, the orientation and angular distribution of cylinders. Variables related to the surrounding medium include: the refractive index, absorption coe±cient and birefringence. In this paper, as a development we introduce an optical activity e®ect to the model. By comparing experiments and Monte Carlo simulations, we analyze the backscattering Mueller matrix patterns of several tissue-like media, and summarize the di®erent e®ects coming from anisotropic scattering and optical properties. In addition, we propose a possible method to extract the optical activity values for tissues. Both the experimental and simulated results show that, by analyzing the Mueller matrix patterns, the microstructure and optical properties of the medium can be obtained. The characteristic features of Mueller matrix patterns are potentially powerful tools for studying the contrast mechanisms of polarization imaging for medical diagnosis.

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“…The results revealed that multispectral operation allows the detection of absorption features in addition to scatteringrelated contrast, which has shown the potential of the system in specific pathologies characterization. 17 In previous studies, we have verified the validity of the sphere-cylinder scattering model 18,19 and sphere-cylinder-birefringence model 20 by comparison with experiments and other Monte Carlo (MC) simulations. 21 In this paper, we use the same models and MC simulations to generate forward scattering Mueller matrices and obtain two sets of polarization parameters using both 3 × 3 and 4 × 4 Mueller matrix decomposition methods.…”

Section: Introductionmentioning

confidence: 99%

Study on the validity of 3 × 3 Mueller matrix decomposition

et al. 2015

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Abstract. Using Monte Carlo simulations based on previously developed scattering models consisting of spherical and cylindrical scatterers imbedded in birefringent interstitial medium, we compare the polarization parameters extracted from the 3 × 3 and 4 × 4 Mueller matrix decomposition methods in forward and backward scattering directions. The results show that the parameters derived from the 3 × 3 Mueller matrix decomposition are usually not the same as those from the 4 × 4 Mueller matrix decomposition but display similar qualitative relations to changes in the microstructure of the sample, such as the density, size, and orientation distributions of the scatterers, and birefringence of the interstitial medium. The simulations are backed up by experiments when suitable samples are available.

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Two-dimensional backscattering Mueller matrix of sphere–cylinder birefringence media

Cited by 50 publications

References 20 publications

Characterizing microstructures of cancerous tissues using multispectral transformed Mueller matrix polarization parameters

Characterizing microstructures of cancerous tissues using multispectral transformed Mueller matrix polarization parameters

Characteristic Features of Mueller Matrix Patterns for Polarization Scattering Model of Biological Tissues

Study on the validity of 3 × 3 Mueller matrix decomposition

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