Monte Carlo modeling of optical coherence tomography in biological tissue with embedded object

Optical scattering and absorption characterize light transport in biological tissue. A popular technique used to study light-tissue interaction is the Monte Carlo simulation. However, Monte Carlo modeling with different geometry has not been widely studied. By integrating embedded objects into Monte...

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Main Author: Ng, See Mui
Other Authors: Manojit Pramanik
Format: Final Year Project
Language:English
Published: 2016
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Online Access:http://hdl.handle.net/10356/68424
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-684242023-03-03T15:39:33Z Monte Carlo modeling of optical coherence tomography in biological tissue with embedded object Ng, See Mui Manojit Pramanik School of Chemical and Biomedical Engineering DRNTU::Engineering Optical scattering and absorption characterize light transport in biological tissue. A popular technique used to study light-tissue interaction is the Monte Carlo simulation. However, Monte Carlo modeling with different geometry has not been widely studied. By integrating embedded objects into Monte Carlo multi-layered structure, it provides a more realistic tissue structure. In this project, time-domain OCT simulation for multi- layered tissue with four types of embedded objects (i.e. sphere, cylinder, ellipsoid, and cuboid) was performed. Improved importance sampling (IS) was carried out to accelerate the OCT simulation. IS was validated against standard and angle biased Monte Carlo method for OCT. Coherency was observed for class I and class II photons in all three methods. The only difference is that IS method has more than ten-fold improvement in the simulation time. B-scan images were obtained for four types of embedded objects and all the four objects are distinctly noticeable from the B-scan OCT images. By using improved IS, B-scan OCT images can be attained under an acceptable simulation time. The Monte Carlo modeling of OCT in biological tissue with embedded object is user- friendly which will be useful in many biological applications. Although there is improvement in the simulation time with IS method, OCT simulation time can further be accelerated with the aid of graphics processing unit. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2016-05-26T02:03:29Z 2016-05-26T02:03:29Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/68424 en Nanyang Technological University 47 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Ng, See Mui
Monte Carlo modeling of optical coherence tomography in biological tissue with embedded object
description Optical scattering and absorption characterize light transport in biological tissue. A popular technique used to study light-tissue interaction is the Monte Carlo simulation. However, Monte Carlo modeling with different geometry has not been widely studied. By integrating embedded objects into Monte Carlo multi-layered structure, it provides a more realistic tissue structure. In this project, time-domain OCT simulation for multi- layered tissue with four types of embedded objects (i.e. sphere, cylinder, ellipsoid, and cuboid) was performed. Improved importance sampling (IS) was carried out to accelerate the OCT simulation. IS was validated against standard and angle biased Monte Carlo method for OCT. Coherency was observed for class I and class II photons in all three methods. The only difference is that IS method has more than ten-fold improvement in the simulation time. B-scan images were obtained for four types of embedded objects and all the four objects are distinctly noticeable from the B-scan OCT images. By using improved IS, B-scan OCT images can be attained under an acceptable simulation time. The Monte Carlo modeling of OCT in biological tissue with embedded object is user- friendly which will be useful in many biological applications. Although there is improvement in the simulation time with IS method, OCT simulation time can further be accelerated with the aid of graphics processing unit.
author2 Manojit Pramanik
author_facet Manojit Pramanik
Ng, See Mui
format Final Year Project
author Ng, See Mui
author_sort Ng, See Mui
title Monte Carlo modeling of optical coherence tomography in biological tissue with embedded object
title_short Monte Carlo modeling of optical coherence tomography in biological tissue with embedded object
title_full Monte Carlo modeling of optical coherence tomography in biological tissue with embedded object
title_fullStr Monte Carlo modeling of optical coherence tomography in biological tissue with embedded object
title_full_unstemmed Monte Carlo modeling of optical coherence tomography in biological tissue with embedded object
title_sort monte carlo modeling of optical coherence tomography in biological tissue with embedded object
publishDate 2016
url http://hdl.handle.net/10356/68424
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