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Iterative analytic extension in tomographic imaging

If a spatial-domain function has a finite support, its Fourier transform is an entire function. The Taylor series expansion of an entire function converges at every finite point in the complex plane. The analytic continuation theory suggests that a finite-sized object can be uniquely determined by i...

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Autor principal: Zeng, Gengsheng L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804128/
https://www.ncbi.nlm.nih.gov/pubmed/35102439
http://dx.doi.org/10.1186/s42492-021-00099-5
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author Zeng, Gengsheng L.
author_facet Zeng, Gengsheng L.
author_sort Zeng, Gengsheng L.
collection PubMed
description If a spatial-domain function has a finite support, its Fourier transform is an entire function. The Taylor series expansion of an entire function converges at every finite point in the complex plane. The analytic continuation theory suggests that a finite-sized object can be uniquely determined by its frequency components in a very small neighborhood. Trying to obtain such an exact Taylor expansion is difficult. This paper proposes an iterative algorithm to extend the measured frequency components to unmeasured regions. Computer simulations show that the proposed algorithm converges very slowly, indicating that the problem is too ill-posed to be practically solvable using available methods.
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spelling pubmed-88041282022-02-02 Iterative analytic extension in tomographic imaging Zeng, Gengsheng L. Vis Comput Ind Biomed Art Original Article If a spatial-domain function has a finite support, its Fourier transform is an entire function. The Taylor series expansion of an entire function converges at every finite point in the complex plane. The analytic continuation theory suggests that a finite-sized object can be uniquely determined by its frequency components in a very small neighborhood. Trying to obtain such an exact Taylor expansion is difficult. This paper proposes an iterative algorithm to extend the measured frequency components to unmeasured regions. Computer simulations show that the proposed algorithm converges very slowly, indicating that the problem is too ill-posed to be practically solvable using available methods. Springer Singapore 2022-02-01 /pmc/articles/PMC8804128/ /pubmed/35102439 http://dx.doi.org/10.1186/s42492-021-00099-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Zeng, Gengsheng L.
Iterative analytic extension in tomographic imaging
title Iterative analytic extension in tomographic imaging
title_full Iterative analytic extension in tomographic imaging
title_fullStr Iterative analytic extension in tomographic imaging
title_full_unstemmed Iterative analytic extension in tomographic imaging
title_short Iterative analytic extension in tomographic imaging
title_sort iterative analytic extension in tomographic imaging
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804128/
https://www.ncbi.nlm.nih.gov/pubmed/35102439
http://dx.doi.org/10.1186/s42492-021-00099-5
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