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Recent Progress on the Factorization Method for Electrical Impedance Tomography
The Factorization Method is a noniterative method to detect the shape and position of conductivity anomalies inside an object. The method was introduced by Kirsch for inverse scattering problems and extended to electrical impedance tomography (EIT) by Brühl and Hanke. Since these pioneering works, s...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3771471/ https://www.ncbi.nlm.nih.gov/pubmed/24069064 http://dx.doi.org/10.1155/2013/425184 |
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author | Harrach, Bastian |
author_facet | Harrach, Bastian |
author_sort | Harrach, Bastian |
collection | PubMed |
description | The Factorization Method is a noniterative method to detect the shape and position of conductivity anomalies inside an object. The method was introduced by Kirsch for inverse scattering problems and extended to electrical impedance tomography (EIT) by Brühl and Hanke. Since these pioneering works, substantial progress has been made on the theoretical foundations of the method. The necessary assumptions have been weakened, and the proofs have been considerably simplified. In this work, we aim to summarize this progress and present a state-of-the-art formulation of the Factorization Method for EIT with continuous data. In particular, we formulate the method for general piecewise analytic conductivities and give short and self-contained proofs. |
format | Online Article Text |
id | pubmed-3771471 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-37714712013-09-25 Recent Progress on the Factorization Method for Electrical Impedance Tomography Harrach, Bastian Comput Math Methods Med Research Article The Factorization Method is a noniterative method to detect the shape and position of conductivity anomalies inside an object. The method was introduced by Kirsch for inverse scattering problems and extended to electrical impedance tomography (EIT) by Brühl and Hanke. Since these pioneering works, substantial progress has been made on the theoretical foundations of the method. The necessary assumptions have been weakened, and the proofs have been considerably simplified. In this work, we aim to summarize this progress and present a state-of-the-art formulation of the Factorization Method for EIT with continuous data. In particular, we formulate the method for general piecewise analytic conductivities and give short and self-contained proofs. Hindawi Publishing Corporation 2013 2013-08-27 /pmc/articles/PMC3771471/ /pubmed/24069064 http://dx.doi.org/10.1155/2013/425184 Text en Copyright © 2013 Bastian Harrach. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Harrach, Bastian Recent Progress on the Factorization Method for Electrical Impedance Tomography |
title | Recent Progress on the Factorization Method for Electrical Impedance Tomography |
title_full | Recent Progress on the Factorization Method for Electrical Impedance Tomography |
title_fullStr | Recent Progress on the Factorization Method for Electrical Impedance Tomography |
title_full_unstemmed | Recent Progress on the Factorization Method for Electrical Impedance Tomography |
title_short | Recent Progress on the Factorization Method for Electrical Impedance Tomography |
title_sort | recent progress on the factorization method for electrical impedance tomography |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3771471/ https://www.ncbi.nlm.nih.gov/pubmed/24069064 http://dx.doi.org/10.1155/2013/425184 |
work_keys_str_mv | AT harrachbastian recentprogressonthefactorizationmethodforelectricalimpedancetomography |