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Issue ESAIM: PROC
Volume 26, 2009
Mathematical methods for imaging and inverse problems
Page(s) 150 - 161
DOI 10.1051/proc/2009011
Published online 25 April 2009

ESAIM: Proc., 2009, Vol. 26, pp. 150-161
DOI: 10.1051/proc/2009011

Recent progress on Frequency Difference Electrical Impedance Tomography

Jin Keun Seo1, Bastian Harrach2 and Eung Je Woo3

1  Department of Computational Science & Engineering, Yonsei University, Korea
2  Institute for Mathematics, Johannes Gutenberg-Universität, 55099 Mainz, Germany
3  College of Electronics and Information, Kyung Hee University, Korea


Published online: 25 April 2009

Abstract
Although time-difference EIT(tdEIT) has shown promise as a medical EIT imaging technique such as monitoring lung function, static EIT has suffered from forward computational model errors including boundary geometry and electrode positions uncertainty combined with the ill-posed and highly nonlinear nature of the corresponding inverse problem. Since 1980s, there has been great endeavor to create forward computational models with the necessary accuracy required for EIT reconstruction, but these efforts were not successful in clinical environment. This is the main reason why we consider frequency-difference EIT (fdEIT) where we take advantage of frequency dependance of biological tissue by injecting currents with at least two different frequencies. In this article, we review recent progress in fdEIT.


Mathematics Subject Classification. 35R30, 35J05, 76Q05

Key words: electrical impedance tomography (EIT), anomaly detection, factorization method, complex conductivity, weighted frequency-differences.


© EDP Sciences, ESAIM 2009


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