Quantitative thermoacoustic tomography with microwaves sources

We investigate a quantitative thermoacoustic tomography process. We aim to recover the electric susceptibility and the conductivity of a medium when the sources are in the microwaves range. We focus on the case where the source signal has a slow time-varying envelope. We present the direct problem c...
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Autor*in:	Hassan Akhouayri [verfasserIn] Maïtine Bergounioux Anabela Da Silva Peter Elbau Amelie Litman Leonidas Mindrinos

Format:	Artikel
Sprache:	Englisch

Erschienen:	2017

Rechteinformationen:	Nutzungsrecht: © Distributed under a Creative Commons Attribution 4.0 International License

Schlagwörter:	Maxwell’s equations 93C20 35M33 optimal control Thermoacoustic tomography inverse problem 35Q61 49N45 80A23 Signal and Image processing Optimization and Control Engineering Sciences Acoustics Electromagnetism Mathematics

Übergeordnetes Werk:	Enthalten in: Journal of inverse and ill-posed problems - Berlin : de Gruyter, 1993, 25(2017), 6, Seite 703-717
Übergeordnetes Werk:	volume:25 ; year:2017 ; number:6 ; pages:703-717

Links:	Volltext Link aufrufen Link aufrufen

DOI / URN:	10.1515/jiip-2016-0012

Katalog-ID:	OLC1999572629

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520			\|a We investigate a quantitative thermoacoustic tomography process. We aim to recover the electric susceptibility and the conductivity of a medium when the sources are in the microwaves range. We focus on the case where the source signal has a slow time-varying envelope. We present the direct problem coupling equations for the electric field, the temperature variation and the pressure (to be measured via sensors). Then we give a variational formulation of the inverse problem which takes into account the entire electromagnetic, thermal and acoustic coupled system, and perform the formal computation of the optimality system.
540			\|a Nutzungsrecht: © Distributed under a Creative Commons Attribution 4.0 International License
650		4	\|a Maxwell’s equations
650		4	\|a 93C20
650		4	\|a 35M33
650		4	\|a optimal control
650		4	\|a Thermoacoustic tomography
650		4	\|a inverse problem
650		4	\|a 35Q61
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650		4	\|a Acoustics
650		4	\|a Electromagnetism
650		4	\|a Mathematics
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700	0		\|a Anabela Da Silva \|4 oth
700	0		\|a Peter Elbau \|4 oth
700	0		\|a Amelie Litman \|4 oth
700	0		\|a Leonidas Mindrinos \|4 oth
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author	Hassan Akhouayri
spellingShingle	Hassan Akhouayri ddc 510 misc Maxwell’s equations misc 93C20 misc 35M33 misc optimal control misc Thermoacoustic tomography misc inverse problem misc 35Q61 misc 49N45 misc 80A23 misc Signal and Image processing misc Optimization and Control misc Engineering Sciences misc Acoustics misc Electromagnetism misc Mathematics Quantitative thermoacoustic tomography with microwaves sources
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topic_title	510 DNB Quantitative thermoacoustic tomography with microwaves sources Maxwell’s equations 93C20 35M33 optimal control Thermoacoustic tomography inverse problem 35Q61 49N45 80A23 Signal and Image processing Optimization and Control Engineering Sciences Acoustics Electromagnetism Mathematics
topic	ddc 510 misc Maxwell’s equations misc 93C20 misc 35M33 misc optimal control misc Thermoacoustic tomography misc inverse problem misc 35Q61 misc 49N45 misc 80A23 misc Signal and Image processing misc Optimization and Control misc Engineering Sciences misc Acoustics misc Electromagnetism misc Mathematics
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title	Quantitative thermoacoustic tomography with microwaves sources
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title_full	Quantitative thermoacoustic tomography with microwaves sources
author_sort	Hassan Akhouayri
journal	Journal of inverse and ill-posed problems
journalStr	Journal of inverse and ill-posed problems
lang_code	eng
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author-letter	Hassan Akhouayri
doi_str_mv	10.1515/jiip-2016-0012
dewey-full	510
title_sort	quantitative thermoacoustic tomography with microwaves sources
title_auth	Quantitative thermoacoustic tomography with microwaves sources
abstract	We investigate a quantitative thermoacoustic tomography process. We aim to recover the electric susceptibility and the conductivity of a medium when the sources are in the microwaves range. We focus on the case where the source signal has a slow time-varying envelope. We present the direct problem coupling equations for the electric field, the temperature variation and the pressure (to be measured via sensors). Then we give a variational formulation of the inverse problem which takes into account the entire electromagnetic, thermal and acoustic coupled system, and perform the formal computation of the optimality system.
abstractGer	We investigate a quantitative thermoacoustic tomography process. We aim to recover the electric susceptibility and the conductivity of a medium when the sources are in the microwaves range. We focus on the case where the source signal has a slow time-varying envelope. We present the direct problem coupling equations for the electric field, the temperature variation and the pressure (to be measured via sensors). Then we give a variational formulation of the inverse problem which takes into account the entire electromagnetic, thermal and acoustic coupled system, and perform the formal computation of the optimality system.
abstract_unstemmed	We investigate a quantitative thermoacoustic tomography process. We aim to recover the electric susceptibility and the conductivity of a medium when the sources are in the microwaves range. We focus on the case where the source signal has a slow time-varying envelope. We present the direct problem coupling equations for the electric field, the temperature variation and the pressure (to be measured via sensors). Then we give a variational formulation of the inverse problem which takes into account the entire electromagnetic, thermal and acoustic coupled system, and perform the formal computation of the optimality system.
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container_issue	6
title_short	Quantitative thermoacoustic tomography with microwaves sources
url	http://dx.doi.org/10.1515/jiip-2016-0012 http://www.degruyter.com/doi/10.1515/jiip-2016-0012 https://hal.archives-ouvertes.fr/hal-01267412
remote_bool	false
author2	Maïtine Bergounioux Anabela Da Silva Peter Elbau Amelie Litman Leonidas Mindrinos
author2Str	Maïtine Bergounioux Anabela Da Silva Peter Elbau Amelie Litman Leonidas Mindrinos
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doi_str	10.1515/jiip-2016-0012
up_date	2024-07-03T14:41:15.843Z
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