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The 2D model for a highly adaptive EIT sensor and image reconstruction algorithms

  • Z. Cao*
  • , H. X. Wang
  • , W. Yin
  • , Y. Yan
  • *Corresponding author for this work
  • Tianjin University
  • University of Manchester
  • University of Kent

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The 2D mathematical model of a highly adaptive sensor for use in electrical impedance tomography (EIT) is established. Based on the model, the optimized parameters of the sensor are obtained. Reconstructed images are presented to illustrate the effectiveness of the model using Tikhonov regularization methods based on the sensitivity theorem. The quality of reconstructed images is high in both size and position.

Original languageEnglish
Title of host publication2007 IEEE Instrumentation and Measurement Technology, IMTC 2007 - Conference Proceedings - Synergy of Science and Technology in Instrumentation and Measurement
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)1424410800, 9781424410804
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 IEEE Instrumentation and Measurement Technology, IMTC 2007 - Synergy of Science and Technology in Instrumentation and Measurement - Warsaw, Poland
Duration: 1 May 20073 May 2007

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (Print)1091-5281

Conference

Conference2007 IEEE Instrumentation and Measurement Technology, IMTC 2007 - Synergy of Science and Technology in Instrumentation and Measurement
Country/TerritoryPoland
CityWarsaw
Period1/05/073/05/07

Keywords

  • 2D model
  • Electrical impedance tomography
  • Highly adaptive sensor
  • Optimization

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