Multiple Fan-Beam Optical Tomography: Modelling Techniques

This paper explains in detail the solution to the forward and inverse problem faced in this research. In the forward problem section, the projection geometry and the sensor modelling are discussed. The dimensions, distributions and arrangements of the optical fibre sensors are determined based on th...

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Main Authors:	Rahim, Ruzairi Abdul, Chen, Leong Lai, San, Chan Kok, Rahiman, Mohd Hafiz Fazalul, Fea, Pang Jon
Format:	Online
Language:	English
Published:	Molecular Diversity Preservation International (MDPI) 2009
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3260600/

id	pubmed-3260600
recordtype	oai_dc
spelling	pubmed-32606002012-01-30 Multiple Fan-Beam Optical Tomography: Modelling Techniques Rahim, Ruzairi Abdul Chen, Leong Lai San, Chan Kok Rahiman, Mohd Hafiz Fazalul Fea, Pang Jon Article This paper explains in detail the solution to the forward and inverse problem faced in this research. In the forward problem section, the projection geometry and the sensor modelling are discussed. The dimensions, distributions and arrangements of the optical fibre sensors are determined based on the real hardware constructed and these are explained in the projection geometry section. The general idea in sensor modelling is to simulate an artificial environment, but with similar system properties, to predict the actual sensor values for various flow models in the hardware system. The sensitivity maps produced from the solution of the forward problems are important in reconstructing the tomographic image. Molecular Diversity Preservation International (MDPI) 2009-10-27 /pmc/articles/PMC3260600/ /pubmed/22291523 http://dx.doi.org/10.3390/s91108562 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Rahim, Ruzairi Abdul Chen, Leong Lai San, Chan Kok Rahiman, Mohd Hafiz Fazalul Fea, Pang Jon
spellingShingle	Rahim, Ruzairi Abdul Chen, Leong Lai San, Chan Kok Rahiman, Mohd Hafiz Fazalul Fea, Pang Jon Multiple Fan-Beam Optical Tomography: Modelling Techniques
author_facet	Rahim, Ruzairi Abdul Chen, Leong Lai San, Chan Kok Rahiman, Mohd Hafiz Fazalul Fea, Pang Jon
author_sort	Rahim, Ruzairi Abdul
title	Multiple Fan-Beam Optical Tomography: Modelling Techniques
title_short	Multiple Fan-Beam Optical Tomography: Modelling Techniques
title_full	Multiple Fan-Beam Optical Tomography: Modelling Techniques
title_fullStr	Multiple Fan-Beam Optical Tomography: Modelling Techniques
title_full_unstemmed	Multiple Fan-Beam Optical Tomography: Modelling Techniques
title_sort	multiple fan-beam optical tomography: modelling techniques
description	This paper explains in detail the solution to the forward and inverse problem faced in this research. In the forward problem section, the projection geometry and the sensor modelling are discussed. The dimensions, distributions and arrangements of the optical fibre sensors are determined based on the real hardware constructed and these are explained in the projection geometry section. The general idea in sensor modelling is to simulate an artificial environment, but with similar system properties, to predict the actual sensor values for various flow models in the hardware system. The sensitivity maps produced from the solution of the forward problems are important in reconstructing the tomographic image.
publisher	Molecular Diversity Preservation International (MDPI)
publishDate	2009
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3260600/
_version_	1611500559921053696

Multiple Fan-Beam Optical Tomography: Modelling Techniques

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