Shape based Monte Carlo code for light transport in complex heterogeneous Tissues

Margallo-Balbás, Eduardo; French, P.J.

doi:10.1364/oe.15.014086

Cited by 57 publications

(47 citation statements)

References 39 publications

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“…To meet our goal, we adopted the ray/surface (sphere and cone) intersection algorithms for our photon transport model [17]. This is in contrast to currently available MC variants supporting the complex surface [18][19][20][21], since they mostly rely on meshing the surface with two-dimensional geometric primitives (triangle and polygon). Such direct utilization of the three-dimensional geometric primitives reduces the meshing error from approximations of the cone and sphere with the flat pieces, and avoids computational inefficiency from using the dense mesh.…”

Section: Monte Carlo Simulation Methodsmentioning

confidence: 99%

Lensed fiber-optic probe design for efficient photon collection in scattering media

Ryu

Shin

Lee

et al. 2014

Biomed. Opt. Express

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Measurement of bioluminescent or fluorescent optical reporters with an implanted fiber-optic probe is a promising approach to allow realtime monitoring of molecular and cellular processes in conscious behaving animals. Technically, this approach relies on sensitive light detection due to the relatively limited light signal and inherent light attenuation in scattering tissue. In this paper, we show that specific geometries of lensed fiber probes improve photon collection in turbid tissue such as brain. By employing Monte Carlo simulation and experimental measurement, we demonstrate that hemispherical-and axicon-shaped lensed fibers increase collection efficiency by up to 2-fold when compared with conventional bare fiber. Additionally we provide theoretical evidence that axicon lenses with specific angles improve photon collection over a wider axial range while conserving lateral collection when compared to hemispherical lensed fiber. These findings could guide the development of a minimally-invasive highly sensitive fiber optic-based light signal monitoring technique and may have broad implications such as fiber-based detection used in diffuse optical spectroscopy.

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Section: Monte Carlo Simulation Methodsmentioning

confidence: 99%

Lensed fiber-optic probe design for efficient photon collection in scattering media

Ryu

Shin

Lee

et al. 2014

Biomed. Opt. Express

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“…22 A more recent approach to modeling turbid media is based on a surface mesh method proposed by Cote and Vitkin 23 and Margallo-Balbas and French. 24 In this approach, the surface of every homogeneous region of the turbid media is represented by a surface mesh. But a high-computational cost is involved in locating the intersection of the path of a photon with its enclosing surface mesh.…”

Section: Introductionmentioning

confidence: 99%

Monte Carlo simulation of optical coherence tomography for turbid media with arbitrary spatial distributions

2014

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Abstract. We developed a Monte Carlo-based simulator of optical coherence tomography (OCT) imaging for turbid media with arbitrary spatial distributions. This simulator allows computation of both Class I diffusive reflectance due to ballistic and quasiballistic scattered photons and Class II diffusive reflectance due to multiple scattered photons. It was implemented using a tetrahedron-based mesh and importance sampling to significantly reduce computational time. Our simulation results were verified by comparing them with results from two previously validated OCT simulators for multilayered media. We present simulation results for OCT imaging of a sphere inside a background slab, which would not have been possible with earlier simulators. We also discuss three important aspects of our simulator: (1) resolution, (2) accuracy, and (3) computation time. Our simulator could be used to study important OCT phenomena and to design OCT systems with improved performance. © 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.

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“…[4][5][6][7][8][9] Much work has been done to improve the efficiency of a MC simulation for modeling light propagation in turbid media. [10][11][12][13][14] Based on the information generated by a single MC baseline simulation, the scaling methods were developed for a wide range of optical properties. 15, 16 Liebert et al applied a similar concept to simulate the time-resolved fluorescence imaging in layered turbid media using the MC method.…”

Section: Introductionmentioning

confidence: 99%

“…12 However, Binzoni et al pointed out that the voxel-based model (tMCimg) was difficult to incorporate precise boundary information. 13 MargalloBalbas et al, therefore, explored a shape-based method (triMC3D) 14 and used triangle meshes to define the complex boundary structures. This shape-based method gives a more accurate description of the interface than the voxel-based approaches.…”

Section: Introductionmentioning

confidence: 99%

Fast photon-boundary intersection computation for Monte Carlo simulation of photon migration

et al. 2013

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Monte Carlo (MC) method is generally used as a "gold standard" technique to simulate photon transport in biomedical optics. However, it is quite time-consuming since abundant photon propagations need to be simulated in order to achieve an accurate result. In the case of complicated geometry, the computation speed is bound up with the calculation of the intersection between the photon transmission path and media boundary. The ray-triangle-based method is often used to calculate the photon-boundary intersection in the shape-based MC simulation for light propagation, but it is still relatively time-consuming. We present a fast way to determine the photon-boundary intersection. Triangle meshes are used to describe the boundary structure. A line segment instead of a ray is used to check if there exists a photon-boundary intersection, as the next location of the photon in light transports is determined by the step size. Results suggest that by simply replacing the conventional raytriangle-based method with the proposed line segment-triangle-based method, the MC simulation for light propagation in the mouse model can be speeded up by more than 35%. © 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.

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Shape based Monte Carlo code for light transport in complex heterogeneous Tissues

Cited by 57 publications

References 39 publications

Lensed fiber-optic probe design for efficient photon collection in scattering media

Lensed fiber-optic probe design for efficient photon collection in scattering media

Monte Carlo simulation of optical coherence tomography for turbid media with arbitrary spatial distributions

Fast photon-boundary intersection computation for Monte Carlo simulation of photon migration

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