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
N1 - Publisher Copyright:
© 2017 Elsevier Inc.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
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.
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U2 - 10.1016/j.jmaa.2017.01.004
DO - 10.1016/j.jmaa.2017.01.004
M3 - Article
AN - SCOPUS:85009477084
VL - 449
SP - 1601
EP - 1618
JO - Journal of Mathematical Analysis and Applications
JF - Journal of Mathematical Analysis and Applications
SN - 0022-247X
IS - 2
ER -