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Image reconstruction algorithm for EMT based on modified Tikhonov regularization method

  • Jianna Hao*
  • , Guang Chen
  • , Zhang Cao
  • , Wuliang Yin
  • , Qian Zhao
  • *Corresponding author for this work
  • Tianjin University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

For Electromagnetic Tomography (EMT) Techniques, image reconstruction is one of the crucial steps, which directly affects the quality of reconstruction and real-time performance of the EMT system. Following analyzing the standard Tikhonov regularization method, an improved Tikhonov method is proposed to alleviate the ill-posed characteristics of the EMT inverse problem. The new algorithm involves two steps. First, two weight matrices are estimated using the solution of the standard Tikhonov regularization method, then the image is reconstructed via the improved algorithm proposed in this paper. Experimental tests confirm that the quality of the reconstructed images using the improved algorithm is enhanced to some extent, and iterative procedure is unnecessary, thus the real-time performance can be ensured.

Original languageEnglish
Title of host publication2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings
Pages2507-2510
Number of pages4
DOIs
StatePublished - 2012
Event2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012 - Graz, Austria
Duration: 13 May 2012 → 16 May 2012

Publication series

Name2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings

Conference

Conference2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012
Country/TerritoryAustria
CityGraz
Period13/05/12 → 16/05/12

Keywords

  • Electromagnetic Tomography
  • image reconstruction
  • improved Tikhonov regularization method
  • inverse problem

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