Anomaly detection using impedance measurements on the boundary

Y. G. Cho; O. Kwon; J. K. Seo; E. J. Woo; J. R. Yoon

Anomaly detection using impedance measurements on the boundary

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

Department of Computational Science and Engineering

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	3083-3086
Number of pages	4
Journal	Annual Reports of the Research Reactor Institute, Kyoto University
Volume	3
Publication status	Published - 2001
Event	23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey Duration: 2001 Oct 25 → 2001 Oct 28

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Mechanical Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "Anomaly detection using impedance measurements on the boundary",

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.",

author = "Cho, {Y. G.} and O. Kwon and Seo, {J. K.} and Woo, {E. J.} and Yoon, {J. R.}",

year = "2001",

language = "English",

volume = "3",

pages = "3083--3086",

journal = "Annual Reports of the Research Reactor Institute, Kyoto University",

issn = "0454-9244",

note = "23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 25-10-2001 Through 28-10-2001",

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TY - JOUR

T1 - Anomaly detection using impedance measurements on the boundary

AU - Cho, Y. G.

AU - Kwon, O.

AU - Seo, J. K.

AU - Woo, E. J.

AU - Yoon, J. R.

PY - 2001

Y1 - 2001

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.

UR - http://www.scopus.com/inward/record.url?scp=0035782021&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0035782021&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0035782021

SN - 0454-9244

VL - 3

SP - 3083

EP - 3086

JO - Annual Reports of the Research Reactor Institute, Kyoto University

JF - Annual Reports of the Research Reactor Institute, Kyoto University

T2 - 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 25 October 2001 through 28 October 2001

ER -

Anomaly detection using impedance measurements on the boundary

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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