Anomaly detection using impedance measurements on the boundary

Y. G. Cho, O. Kwon, Jin Keun Seo, E. J. Woo, J. R. Yoon

Research output: Contribution to journalConference article

Abstract

We describe a new anomaly detection algorithm 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 resistivity images of a subject. In this paper, we focus our attention on the detection of the location and size of anomalies with resistivity values different from the background tissues. We show the performance of the algorithm from experimental results using 32-channel EIT system and saline phantoms. The algorithm is applicable to the detection of cancerous tissues in the breast.

Original languageEnglish
Pages (from-to)3083-3086
Number of pages4
JournalAnnual Reports of the Research Reactor Institute, Kyoto University
Volume3
Publication statusPublished - 2001 Dec 1
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: 2001 Oct 252001 Oct 28

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Acoustic impedance
Tomography
Tissue
Voltage measurement
Electric current measurement

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Mechanical Engineering

Cite this

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Anomaly detection using impedance measurements on the boundary. / Cho, Y. G.; Kwon, O.; Seo, Jin Keun; Woo, E. J.; Yoon, J. R.

In: Annual Reports of the Research Reactor Institute, Kyoto University, Vol. 3, 01.12.2001, p. 3083-3086.

Research output: Contribution to journalConference article

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T1 - Anomaly detection using impedance measurements on the boundary

AU - Cho, Y. G.

AU - Kwon, O.

AU - Seo, Jin Keun

AU - Woo, E. J.

AU - Yoon, J. R.

PY - 2001/12/1

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N2 - We describe a new anomaly detection algorithm 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 resistivity images of a subject. In this paper, we focus our attention on the detection of the location and size of anomalies with resistivity values different from the background tissues. We show the performance of the algorithm from experimental results using 32-channel EIT system and saline phantoms. The algorithm is applicable to the detection of cancerous tissues in the breast.

AB - We describe a new anomaly detection algorithm 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 resistivity images of a subject. In this paper, we focus our attention on the detection of the location and size of anomalies with resistivity values different from the background tissues. We show the performance of the algorithm from experimental results using 32-channel EIT system and saline phantoms. The algorithm is applicable to the detection of cancerous tissues in the breast.

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