Admittivity imaging from multi-frequency micro-electrical impedance tomography

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

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1601-1618
Number of pages18
JournalJournal of Mathematical Analysis and Applications
Issue number2
Publication statusPublished - 2017 May 15

Bibliographical note

Publisher Copyright:
© 2017 Elsevier Inc.

All Science Journal Classification (ASJC) codes

  • Analysis
  • Applied Mathematics


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