Monte Carlo simulation of polarized photon scattering in anisotropic media

Yun, Tianliang; Zeng, Nan; Li, Wei; Li, Dong-Zhi; Jiang, Xiaoyu; Ma, Hui

doi:10.1364/oe.17.016590

Cited by 128 publications

(94 citation statements)

References 15 publications

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“…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%

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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111

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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 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

111

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“…20 For comparisons between the simulated and experimental results, parameters of the simulations are set according to published tissue data. The refractive indices of the scatterers and surrounding medium are 1.4 and 1.33, respectively.…”

Section: Simulationmentioning

confidence: 99%

Influence of absorption in linear polarization imaging of melanoma tissues

Zeng

et al. 2014

J. Innov. Opt. Health Sci.

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The contrast mechanism of di®erent polarization imaging techniques for melanoma in mouse skin is studied using both experiments and Monte Carlo simulations. Total intensity, linear polarization di®erence imaging (DPI), degree of polarization imaging (DOPI) and rotating linear polarization imaging (RLPI) are applied and the relative contrasts of these polarization imaging methods between the normal and cancerous tissues are compared. A two-layer absorption-scattering model is proposed to explain the contrast mechanism of the polarization imaging for melanoma. By taking into account of both scattering of symmetrical and asymmetrical scatterers and absorption of inter-scatterer medium, the two-layer model reproduces the relative contrasts for polarization images observed in experiments. The simulation results also show that, the parameters of polarization imaging change more dramatically with the variation of absorption in the bottom layer than the top layer.

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“…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%

“…For instance, Angelsky et al discussed the anisotropic complex biological tissue models and related possible diagnostic criteria. 15À19 To mimic the¯brous structures in biological tissues such as collagen¯bers, muscle¯bers and elastins, we proposed a sphere-cylinder scattering model (SCSM) 20,21 and studied the characteristic features of its backscattering Mueller matrix patterns. 22,23 Recently, SCSM has been expended to the comprehensive sphere-cylinder birefringence model (SCBM) to take into account of birefringent ambient medium.…”

Section: Introductionmentioning

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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Monte Carlo simulation of polarized photon scattering in anisotropic media

Cited by 128 publications

References 15 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

Influence of absorption in linear polarization imaging of melanoma tissues

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

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