Focusing problem in OCT: comparison of Monte-Carlo simulations, the extended Huygens-Fresnel principle, and experiments

Tycho, Andreas; Joergensen, Thomas Martini; Thrane, Lars

doi:10.1117/12.384168

Cited by 8 publications

(8 citation statements)

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“…1. Equation (1) becomes for (6) where , is the optical distance, and is the optical depth. We assume that the only source of radiation is the incident wave; therefore, the boundary conditions in this problem can be written as for for (7) The source vector is given by (8) For the plane-wave case, the reduced Stokes vector is (9) However, for a point-source or transmitter with directional gain, represented by (5), the formulation shown in (6) is not easily solved.…”

Section: A Vector Radiative Transfer Equationmentioning

confidence: 99%

“…With some assumptions and approximations, we find that we can modify the previous procedures to solve for the vector radiative transfer equation in (6). In the next section, we discuss these assumptions and approximations.…”

Section: A Vector Radiative Transfer Equationmentioning

confidence: 99%

“…Most of this shower curtain effect is studied under the circumstances of atmospheric imaging. However, the shower curtain effect has recently been considered in the context of optical coherence tomography, which applies to biomedical imaging [5], [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optical imaging through clouds and fog

Jaruwatanadilok

Ishimaru

Fellow

et al. 2003

IEEE Trans. Geosci. Remote Sensing

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Imaging and detection of objects at optical wavelengths offers better resolution than at microwave or millimeter wavelengths. However, the imaging is severely affected by scattering from fog and clouds. This paper presents a study of optical imaging through clouds by using the point-source vector radiative transfer theory. The point-spread function including complete polarization characteristics is presented with numerical examples at 1 m wavelength showing the effects of aperture size and optical depth on the shower curtain effects.

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Section: A Vector Radiative Transfer Equationmentioning

confidence: 99%

Section: A Vector Radiative Transfer Equationmentioning

confidence: 99%

See 1 more Smart Citation

Optical imaging through clouds and fog

Jaruwatanadilok

Ishimaru

Fellow

et al. 2003

IEEE Trans. Geosci. Remote Sensing

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“…However, two difficulties need to be overcome in order to apply it for simulating OCT systems. First is proper modeling propagation of focused light beams, 2,3,6,9,13 since OCT setups mostly operates with Gaussian beams. Second is correct calculation of interference signal at photodetector.…”

Section: Introductionmentioning

confidence: 99%

Novel approach to modeling spectral-domain optical coherence tomography with Monte Carlo method

et al. 2014

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Numerical modeling Optical Coherence Tomography (OCT) systems is needed for optical setup optimization, development of new signal processing methods and assessment of impact of different physical phenomena inside the sample on OCT signal. The Monte Carlo method has been often used for modeling Optical Coherence Tomography, as it is a well established tool for simulating light propagation in scattering media. However, in this method light is modeled as a set of energy packets traveling along straight lines. This reduces accuracy of Monte Carlo calculations in case of simulating propagation of dopeds. Since such beams are commonly used in OCT systems, classical Monte Carlo algorithm need to be modified. In presented research, we have developed model of SD-OCT systems using combination of Monte Carlo and analytical methods. Our model includes properties of optical setup of OCT system, which is often omitted in other research. We present applied algorithms and comparison of simulation results with SD-OCT scans of optical phantoms. We have found that our model can be used for determination of level of OCT signal coming from scattering particles inside turbid media placed in different positions relatively to focal point of incident light beam. It may improve accuracy of simulating OCT systems.

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“…[16][17][18][19][20][21] The propagation of light within biological tissue is modeled typically by a set of particles also known as "photon packets" (Ref. 22). The Huygens-Fresnel principle approach has a high computational complexity since the wavefront is considered as a set of point sources, described by differential equation.…”

Section: Introductionmentioning

confidence: 99%

Imitation of optical coherence tomography images by wave Monte Carlo-based approach implemented with the Leontovich–Fock equation

et al. 2020

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We present a computational modeling approach for imitation of the time-domain optical coherence tomography (OCT) images of biotissues. The developed modeling technique is based on the implementation of the Leontovich-Fock equation into the wave Monte Carlo (MC) method. We discuss the benefits of the developed computational model in comparison to the conventional MC method based on the modeling of OCT images of a nevus. The developed model takes into account diffraction on bulk-absorbing microstructures and allows consideration of the influence of the amplitude-phase profile of the wave beam on the quality of the OCT images. The selection of optical parameters of modeling medium, used for simulation of optical radiation propagation in biotissues, is based on the results obtained experimentally by OCT. The developed computational model can be used for imitation of the light waves propagation both in time-domain and spectral-domain OCT approaches.

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Focusing problem in OCT: comparison of Monte-Carlo simulations, the extended Huygens-Fresnel principle, and experiments

Cited by 8 publications

References 0 publications

Optical imaging through clouds and fog

Optical imaging through clouds and fog

Novel approach to modeling spectral-domain optical coherence tomography with Monte Carlo method

Imitation of optical coherence tomography images by wave Monte Carlo-based approach implemented with the Leontovich–Fock equation

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