Anomaly detection using impedance measurements on the boundary

Author

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

Author_Institution

Graduate Sch. of East-West Med. Sci., Kyung Hee Univ., Kyungki, South Korea

Volume

3

fYear

2001

fDate

2001

Firstpage

3083

Abstract

We describe a new anomaly detection algorithm based on an 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 a 32-channel EIT system and saline phantoms. The algorithm is applicable to the detection of cancerous tissues in the breast.

Keywords

bioelectric phenomena; biomedical electrodes; cancer; electric impedance imaging; image reconstruction; mammography; measurement errors; medical image processing; medical signal detection; 32-channel EIT system; algorithm; anomaly detection algorithm; background tissues; boundary; breast; cancerous tissues; electrical impedance tomography; electrode interface unit; impedance measurements; resistivity values; saline phantoms; Biomedical imaging; Breast; Cancer detection; Conductivity; Detection algorithms; Image reconstruction; Imaging phantoms; Impedance measurement; Mathematics; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1017453

Filename

1017453