Detection of admittivity anomaly on high-contrast heterogeneous backgrounds using frequency difference EIT

J. Jang, J. K. Seo

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

This paper describes a multiple background subtraction method in frequency difference electrical impedance tomography (fdEIT) to detect an admittivity anomaly from a high-contrast background conductivity distribution. The proposed method expands the use of the conventional weighted frequency difference EIT method, which has been used limitedly to detect admittivity anomalies in a roughly homogeneous background. The proposed method can be viewed as multiple weighted difference imaging in fdEIT. Although the spatial resolutions of the output images by fdEIT are very low due to the inherent ill-posedness, numerical simulations and phantom experiments of the proposed method demonstrate its feasibility to detect anomalies. It has potential application in stroke detection in a head model, which is highly heterogeneous due to the skull.

Original languageEnglish
Article number1179
Pages (from-to)1179-1192
Number of pages14
JournalPhysiological measurement
Volume36
Issue number6
DOIs
Publication statusPublished - 2015 Jun 1

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Physiology
  • Biomedical Engineering
  • Physiology (medical)

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