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 optimization scheme is shown to be obtainable from multi-frequency data. The results of this paper have potential applicability in cancer imaging, cell culturing and differentiation, food sciences, and biotechnology.
@article{arxiv.1403.5708,
title = {Admittivity imaging from multi-frequency micro-electrical impedance tomography},
author = {Habib Ammari and Laure Giovangigli and Loc Hoang Nguyen and Jin-Keun Seo},
journal= {arXiv preprint arXiv:1403.5708},
year = {2014}
}