Importance Sampling based Monte Carlo simulation of time domain optical coherence tomography with embedded objects
Monte Carlo simulation for light propagation in biological tissue is widely used to study light–tissue interaction. Simulation for optical coherence tomography (OCT) studies requires handling of embedded objects of various shapes. In this work, time-domain OCT simulations for multilayered tissue wit...
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sg-ntu-dr.10356-829082023-12-29T06:48:49Z Importance Sampling based Monte Carlo simulation of time domain optical coherence tomography with embedded objects Periyasamy, Vijitha Pramanik, Manojit School of Chemical and Biomedical Engineering Light propagation in tissues Optical coherence tomography Photon migration Computation methods Monte Carlo simulation for light propagation in biological tissue is widely used to study light–tissue interaction. Simulation for optical coherence tomography (OCT) studies requires handling of embedded objects of various shapes. In this work, time-domain OCT simulations for multilayered tissue with embedded objects (such as sphere, cylinder, ellipsoid, and cuboid) was done. Improved importance sampling (IS) was implemented for the proposed OCT simulation for faster speed. At first, IS was validated against standard and angular biased Monte Carlo methods for OCT. Both class I and class II photons were in agreement in all the three methods. However, the IS method had more than tenfold improvement in terms of simulation time. Next, B-scan images were obtained for four types of embedded objects. All the four shapes are clearly visible from the B-scan OCT images. With the improved IS B-scan OCT images of embedded objects can be obtained with reasonable simulation time using a standard desktop computer. User-friendly, C-based, Monte Carlo simulation for tissue layers with embedded objects for OCT (MCEO-OCT) will be very useful for time-domain OCT simulations in many biological applications. MOE (Min. of Education, S’pore) Accepted version 2016-04-08T04:56:21Z 2019-12-06T15:07:57Z 2016-04-08T04:56:21Z 2019-12-06T15:07:57Z 2016 2016 Journal Article Periyasamy, V., & Pramanik, M. (2016). Importance sampling-based Monte Carlo simulation of time-domain optical coherence tomography with embedded objects. Applied Optics, 55(11), 2921-2929. 1559-128X https://hdl.handle.net/10356/82908 http://hdl.handle.net/10220/40390 10.1364/AO.55.002921 190275 en Applied Optics © 2016 Optical Society of America. This is the author created version of a work that has been peer reviewed and accepted for publication by Applied Optics, Optical Society of America. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1364/AO.55.002921]. 9 p. application/pdf |
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Light propagation in tissues Optical coherence tomography Photon migration Computation methods Periyasamy, Vijitha Pramanik, Manojit Importance Sampling based Monte Carlo simulation of time domain optical coherence tomography with embedded objects |
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Monte Carlo simulation for light propagation in biological tissue is widely used to study light–tissue interaction. Simulation for optical coherence tomography (OCT) studies requires handling of embedded objects of various shapes. In this work, time-domain OCT simulations for multilayered tissue with embedded objects (such as sphere, cylinder, ellipsoid, and cuboid) was done. Improved importance sampling (IS) was implemented for the proposed OCT simulation for faster speed. At first, IS was validated against standard and angular biased Monte Carlo methods for OCT. Both class I and class II photons were in agreement in all the three methods. However, the IS method had more than tenfold improvement in terms of simulation time. Next, B-scan images were obtained for four types of embedded objects. All the four shapes are clearly visible from the B-scan OCT images. With the improved IS B-scan OCT images of embedded objects can be obtained with reasonable simulation time using a standard desktop computer. User-friendly, C-based, Monte Carlo simulation for tissue layers with embedded objects for OCT (MCEO-OCT) will be very useful for time-domain OCT simulations in many biological applications. |
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School of Chemical and Biomedical Engineering |
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School of Chemical and Biomedical Engineering Periyasamy, Vijitha Pramanik, Manojit |
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Article |
author |
Periyasamy, Vijitha Pramanik, Manojit |
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Periyasamy, Vijitha |
title |
Importance Sampling based Monte Carlo simulation of time domain optical coherence tomography with embedded objects |
title_short |
Importance Sampling based Monte Carlo simulation of time domain optical coherence tomography with embedded objects |
title_full |
Importance Sampling based Monte Carlo simulation of time domain optical coherence tomography with embedded objects |
title_fullStr |
Importance Sampling based Monte Carlo simulation of time domain optical coherence tomography with embedded objects |
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Importance Sampling based Monte Carlo simulation of time domain optical coherence tomography with embedded objects |
title_sort |
importance sampling based monte carlo simulation of time domain optical coherence tomography with embedded objects |
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2016 |
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https://hdl.handle.net/10356/82908 http://hdl.handle.net/10220/40390 |
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