Admittivity imaging from multi-frequency micro-electrical impedance tomography

Habib Ammari; Laure Giovangigli; Loc Hoang Nguyen; Jin Keun Seo

doi:10.1016/j.jmaa.2017.01.004

Admittivity imaging from multi-frequency micro-electrical impedance tomography

Habib Ammari
, Laure Giovangigli
, Loc Hoang Nguyen
, Jin Keun Seo

ETH Zurich
Long Beach VA and University of California
University of North Carolina at Charlotte
Yonsei University

Résultats de recherche: Contribution à un journal › Article › Revue par des pairs

Résumé

The aim of this paper is to propose an optimal control optimization algorithm for reconstructing admittivity distributions (i.e., both conductivity and permittivity) from multi-frequency micro-electrical impedance tomography. A convergent and stable optimal control scheme is shown to be obtainable from multi-frequency data. This opens a door for convergence analysis of optimal control type approaches in imaging from internal data. The results of this paper have potential applicability in cancer imaging, cell culturing and differentiation, food sciences, and biotechnology.

langue originale	Anglais
Pages (de - à)	1601-1618
Nombre de pages	18
journal	Journal of Mathematical Analysis and Applications
Volume	449
Numéro de publication	2
Les DOIs	https://doi.org/10.1016/j.jmaa.2017.01.004
état	Publié - 15 mai 2017
Modification externe	Oui

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10.1016/j.jmaa.2017.01.004

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title = "Admittivity imaging from multi-frequency micro-electrical impedance tomography",

abstract = "The aim of this paper is to propose an optimal control optimization algorithm for reconstructing admittivity distributions (i.e., both conductivity and permittivity) from multi-frequency micro-electrical impedance tomography. A convergent and stable optimal control scheme is shown to be obtainable from multi-frequency data. This opens a door for convergence analysis of optimal control type approaches in imaging from internal data. The results of this paper have potential applicability in cancer imaging, cell culturing and differentiation, food sciences, and biotechnology.",

keywords = "Imaging from internal data, Landweber algorithm, Micro-electrical impedance tomography, Multi-frequency measurements, Optimal control",

author = "Habib Ammari and Laure Giovangigli and Nguyen, \{Loc Hoang\} and Seo, \{Jin Keun\}",

note = "Publisher Copyright: {\textcopyright} 2017 Elsevier Inc.",

year = "2017",

month = may,

day = "15",

doi = "10.1016/j.jmaa.2017.01.004",

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TY - JOUR

T1 - Admittivity imaging from multi-frequency micro-electrical impedance tomography

AU - Ammari, Habib

AU - Giovangigli, Laure

AU - Nguyen, Loc Hoang

AU - Seo, Jin Keun

PY - 2017/5/15

Y1 - 2017/5/15

N2 - The aim of this paper is to propose an optimal control optimization algorithm for reconstructing admittivity distributions (i.e., both conductivity and permittivity) from multi-frequency micro-electrical impedance tomography. A convergent and stable optimal control scheme is shown to be obtainable from multi-frequency data. This opens a door for convergence analysis of optimal control type approaches in imaging from internal data. The results of this paper have potential applicability in cancer imaging, cell culturing and differentiation, food sciences, and biotechnology.

AB - The aim of this paper is to propose an optimal control optimization algorithm for reconstructing admittivity distributions (i.e., both conductivity and permittivity) from multi-frequency micro-electrical impedance tomography. A convergent and stable optimal control scheme is shown to be obtainable from multi-frequency data. This opens a door for convergence analysis of optimal control type approaches in imaging from internal data. The results of this paper have potential applicability in cancer imaging, cell culturing and differentiation, food sciences, and biotechnology.

KW - Imaging from internal data

KW - Landweber algorithm

KW - Micro-electrical impedance tomography

KW - Multi-frequency measurements

KW - Optimal control

UR - https://www.scopus.com/pages/publications/85009477084

U2 - 10.1016/j.jmaa.2017.01.004

DO - 10.1016/j.jmaa.2017.01.004

M3 - Article

AN - SCOPUS:85009477084

SN - 0022-247X

VL - 449

SP - 1601

EP - 1618

JO - Journal of Mathematical Analysis and Applications

JF - Journal of Mathematical Analysis and Applications

IS - 2

ER -

Admittivity imaging from multi-frequency micro-electrical impedance tomography

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