Almost instantaneous Monte Carlo calculation of optical coherence tomography signal using graphic processing unit

Kalra, Anshul; Lima, Ivan T.; Sherif, Sherif S.

doi:10.1109/ipcon.2013.6656341

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Third, because the inherently parallel nature of Monte Carlo simulations, we could reduce our simulation time by implementing our simulator on graphics processor units (GPUs). Simulations of light transportation in turbid media [32][33][34] and of OCT in multilayered media 35 have been implemented on GPUs using the compute unified device architecture (CUDA) programming language.…”

Section: Simulation Computation Timementioning

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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Section: Simulation Computation Timementioning

confidence: 99%

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

2014

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QOCT-Net: A Physics-Informed Neural Network for Intravascular Optical Coherence Tomography Attenuation Imaging

Zheng,

Shuyan,

Yingsa

et al. 2023

IEEE J. Biomed. Health Inform.

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Almost instantaneous Monte Carlo calculation of optical coherence tomography signal using graphic processing unit

Abstract: An almost instantaneous Monte Carlo calculation of optical coherence tomography signal from tissue was implemented using importance sampling and massively parallel computing. Original computation time was reduced from more than 6 days to 9 seconds.

Cited by 2 publications

References 7 publications

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

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

QOCT-Net: A Physics-Informed Neural Network for Intravascular Optical Coherence Tomography Attenuation Imaging

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