J Shanghai Jiaotong Univ Sci ›› 2022, Vol. 27 ›› Issue (2): 211-218.doi: 10.1007/s12204-021-2333-1

• Medicine-Engineering Interdisciplinary Research • Previous Articles     Next Articles

Survey of EIT Image Reconstruction Algorithms

ZHANG Mingzhua (张明珠), MA Yixina,b* (马艺馨), HUANG Ningninga (黄宁宁), GE Haoa (葛浩)   

  1. (a. School of Electronic Information and Electrical Engineering; b. Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China)
  • Received:2019-10-29 Online:2022-03-28 Published:2022-05-02

Abstract: With the recent promotion of clinical applications of electrical impedance tomography (EIT) technology,more scholars have begun studying EIT technology. Although the principle of EIT technology seems simple,EIT image reconstruction is a non-linear and ill-posed problem that is quite difficult to solve because of its soft field characteristics and the inhomogeneous distribution of its sensitive field. What’s more, the EIT reconstruction algorithm requires further improvements in robustness, clarity, etc. The image-reconstruction algorithm and image quality are among the key challenges in the application of EIT technology; thus, more research is urgently needed to improve the performance of EIT technology and use it to solve a larger variety of clinical problems. In this paper, we pay special attention to the latest advances in the study of EIT image-reconstruction algorithms to provide a convenient reference for EIT beginners and researchers who are newly involved in research on EIT image reconstruction.

Key words: electrical impedance tomography(EIT)| image reconstruction| inverse problem

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