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Alignment theory of parallel-beam computed tomography image reconstruction for elastic-type objects using virtual focusing method

X-ray computed tomography has been studied in various fields. Considerable effort has been focused on reconstructing the projection image set from a rigid-type specimen. However, reconstruction of images projected from an object showing elastic motion has received minimal attention. In this paper, a...

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Detalles Bibliográficos
Autores principales: Jun, Kyungtaek, Kim, Dongwook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003809/
https://www.ncbi.nlm.nih.gov/pubmed/29906792
http://dx.doi.org/10.1371/journal.pone.0198259
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author Jun, Kyungtaek
Kim, Dongwook
author_facet Jun, Kyungtaek
Kim, Dongwook
author_sort Jun, Kyungtaek
collection PubMed
description X-ray computed tomography has been studied in various fields. Considerable effort has been focused on reconstructing the projection image set from a rigid-type specimen. However, reconstruction of images projected from an object showing elastic motion has received minimal attention. In this paper, a mathematical solution to reconstructing the projection image set obtained from an object with specific elastic motions—periodically, regularly, and elliptically expanded or contracted specimens—is proposed. To reconstruct the projection image set from expanded or contracted specimens, methods are presented for detection of the sample’s motion modes, mathematical rescaling of pixel values, and conversion of the projection angle for a common layer.
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spelling pubmed-60038092018-06-25 Alignment theory of parallel-beam computed tomography image reconstruction for elastic-type objects using virtual focusing method Jun, Kyungtaek Kim, Dongwook PLoS One Research Article X-ray computed tomography has been studied in various fields. Considerable effort has been focused on reconstructing the projection image set from a rigid-type specimen. However, reconstruction of images projected from an object showing elastic motion has received minimal attention. In this paper, a mathematical solution to reconstructing the projection image set obtained from an object with specific elastic motions—periodically, regularly, and elliptically expanded or contracted specimens—is proposed. To reconstruct the projection image set from expanded or contracted specimens, methods are presented for detection of the sample’s motion modes, mathematical rescaling of pixel values, and conversion of the projection angle for a common layer. Public Library of Science 2018-06-15 /pmc/articles/PMC6003809/ /pubmed/29906792 http://dx.doi.org/10.1371/journal.pone.0198259 Text en © 2018 Jun, Kim http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jun, Kyungtaek
Kim, Dongwook
Alignment theory of parallel-beam computed tomography image reconstruction for elastic-type objects using virtual focusing method
title Alignment theory of parallel-beam computed tomography image reconstruction for elastic-type objects using virtual focusing method
title_full Alignment theory of parallel-beam computed tomography image reconstruction for elastic-type objects using virtual focusing method
title_fullStr Alignment theory of parallel-beam computed tomography image reconstruction for elastic-type objects using virtual focusing method
title_full_unstemmed Alignment theory of parallel-beam computed tomography image reconstruction for elastic-type objects using virtual focusing method
title_short Alignment theory of parallel-beam computed tomography image reconstruction for elastic-type objects using virtual focusing method
title_sort alignment theory of parallel-beam computed tomography image reconstruction for elastic-type objects using virtual focusing method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003809/
https://www.ncbi.nlm.nih.gov/pubmed/29906792
http://dx.doi.org/10.1371/journal.pone.0198259
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