Effect of structured packing on EIT image reconstruction

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Broadly used in chemical engineering, structured packing is beneficial for maximizing liquid spreading. In this paper, image reconstruction for electrical impedance tomography (EIT) sensors with structured packing is investigated. To evaluate the effect of structured packing on image quality, characterization of EIT sensor with structured packing is firstly carried out. Furthermore, fringe effect in image reconstruction using these sensors is presented. Based on the study, it is found that compared with standard Tikhonov regularization and Landweber iteration, using 2-order difference operators, such as Gaussian-Laplace operator, can effectively decrease the degradation of image quality. The study also discusses the feasibility of using homogeneous sensitivity matrix in image reconstruction. Numerical analysis is carried out to demonstrate the validation of the study.

Original languageEnglish
Title of host publicationIST 2014 - 2014 IEEE International Conference on Imaging Systems and Techniques, Proceedings
PublisherInstitute of Electrical and Electronics Engineers
Pages53-58
Number of pages6
ISBN (Print)9781479967483
DOIs
Publication statusPublished - 1 Jan 2014
Event2014 IEEE International Conference on Imaging Systems and Techniques, IST 2014 - Santorini Island, United Kingdom
Duration: 14 Oct 201417 Oct 2014

Conference

Conference2014 IEEE International Conference on Imaging Systems and Techniques, IST 2014
Country/TerritoryUnited Kingdom
CitySantorini Island
Period14/10/1417/10/14

Keywords / Materials (for Non-textual outputs)

  • electrical impedance tomography
  • Gaussian-Laplace operator
  • image reconstruction
  • structured packing

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