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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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Detalles Bibliográficos
Autores principales: Rahim, Ruzairi Abdul, Chen, Leong Lai, San, Chan Kok, Rahiman, Mohd Hafiz Fazalul, Fea, Pang Jon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3260600/
https://www.ncbi.nlm.nih.gov/pubmed/22291523
http://dx.doi.org/10.3390/s91108562
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author Rahim, Ruzairi Abdul
Chen, Leong Lai
San, Chan Kok
Rahiman, Mohd Hafiz Fazalul
Fea, Pang Jon
author_facet Rahim, Ruzairi Abdul
Chen, Leong Lai
San, Chan Kok
Rahiman, Mohd Hafiz Fazalul
Fea, Pang Jon
author_sort Rahim, Ruzairi Abdul
collection PubMed
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.
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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 Sensors (Basel) 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/).
spellingShingle Article
Rahim, Ruzairi Abdul
Chen, Leong Lai
San, Chan Kok
Rahiman, Mohd Hafiz Fazalul
Fea, Pang Jon
Multiple Fan-Beam Optical Tomography: Modelling Techniques
title 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_short Multiple Fan-Beam Optical Tomography: Modelling Techniques
title_sort multiple fan-beam optical tomography: modelling techniques
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3260600/
https://www.ncbi.nlm.nih.gov/pubmed/22291523
http://dx.doi.org/10.3390/s91108562
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