On the Image Reconstruction of Capacitively Coupled Electrical Resistance Tomography (CCERT) with Entropy Priors

Z. Su, Manuchehr Soleimani, Y. Jiang, H. Ji, B. Wang

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Abstract

Regularization with priors is an effective approach to solve the ill-posed inverse problem of electrical tomography. Entropy priors have been proven to be promising in radiation tomography but have received less attention in the literature of electrical tomography. This work aims to investigate the image reconstruction of capacitively coupled electrical resistance tomography (CCERT) with entropy priors. Four types of entropy priors are introduced, including the image entropy, the projection entropy, the image-projection joint entropy, and the cross-entropy between the measurement projection and the forward projection. Correspondingly, objective functions with the four entropy priors are developed, where the first three are implemented under the maximum entropy strategy and the last one is implemented under the minimum cross-entropy strategy. Linear back-projection is adopted to obtain the initial image. The steepest descent method is utilized to optimize the objective function and obtain the final image. Experimental results show that the four entropy priors are effective in regularization of the ill-posed inverse problem of CCERT to obtain a reasonable solution. Compared with the initial image obtained by linear back projection, all the four entropy priors make sense in improving the image quality. Results also indicate that cross-entropy has the best performance among the four entropy priors in the image reconstruction of CCERT.
Original languageEnglish
Article number148
JournalEntropy
Volume25
Issue number1
DOIs
Publication statusPublished - 11 Jan 2023

Bibliographical note

Funding Information:
This research is supported by National Natural Science Foundation of China under Grant 62201502 and in part by the Natural Science Foundation of Zhejiang Province under Grant LQ22F030001.

Keywords

  • capacitively coupled electrical resistance tomography (CCERT)
  • electrical tomography
  • entropy
  • image reconstruction
  • regularization

ASJC Scopus subject areas

  • Information Systems
  • Mathematical Physics
  • Physics and Astronomy (miscellaneous)
  • Electrical and Electronic Engineering

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