We developed a new algorithm that estimates locations and sizes of anomalies in electrically conducting medium based on electrical impedance tomography (EIT) technique. When only the boundary current and voltage measurements are available, it is not practically feasible to reconstruct accurate high-resolution cross-sectional conductivity or resistivity images of a subject. In this paper, we focus our attention on the estimation of locations and sizes of anomalies with different conductivity values compared with the background tissues. We showed the performance of the algorithm from experimental results using a 32-channel EIT system and saline phantom. With about 1.73% measurement error in boundary current-voltage data, we found that the minimal size (area) of the detectable anomaly is about 0.72% of the size (area) of the phantom. Potential applications include the monitoring of impedance related physiological events and bubble detection in two-phase flow. Since this new algorithm requires neither any forward solver nor time-consuming minimization process, it is fast enough for various real-time applications in medicine and nondestructive testing.
Bibliographical noteFunding Information:
Manuscript received October 3, 2001; revised August 3, 2002. This work was supported by the Korea Science and Engineering Foundation (KOSEF) under Grant R11-2002-103. The work of J. K. Seo was supported by the Korea Science and Engineering Foundation under Grant R01-1999-00006. Asterisk indicates corresponding author. O. Kwon is with the Department of Mathematics, Konkuk University, Seoul 143-701, Korea. J. R. Yoon was with the School of Mathematics, Korea Institute for Advanced Study, Seoul 130-012 Korea. He is now with the Department of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180-3590 USA. J. K. Seo is with the Department of Mathematics, Yonsei University, Seoul 120-749 Korea. *E. J. Woo is with the College of Electronics and Information, Kyung Hee University, Kyungki 449–701 Korea (e-mail: email@example.com). Y. G. Cho is with the Graduate School of East-West Medical Sciences, Kyung Hee University, Kyungki 449-701 Korea. Digital Object Identifier 10.1109/TBME.2002.805474
All Science Journal Classification (ASJC) codes
- Biomedical Engineering