Journal of Northeastern University Natural Science ›› 2016, Vol. 37 ›› Issue (4): 477-480.DOI: 10.12068/j.issn.1005-3026.2016.04.005

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Application of Thresholding Landweber Algorithm in MIT Image Reconstruction

WANG Xu1, WANG Jing-wen1, WANG Ke-yuan2   

  1. 1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China; 2.Faculty of Electronic Information and Electrical Engineering, Dalian Unirersity of Technology, Dalian 116024, China.
  • Received:2014-11-07 Revised:2014-11-07 Online:2016-04-15 Published:2016-04-05
  • Contact: WANG Jing-wen
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Abstract: To improve image reconstruction quality of magnetic induction tomography (MIT), a thresholding Landweber reconstruction algorithm was put forward. The threshold value was set on the basis of the Landweber algorithm, and the threshold parameter was adaptively regulated with the iteration, which could improve the image reconstruction quality and accelerate the convergence rate of the Landweber algorithm. Based on the MIT system model established with Comsol Multiphysics, a forward mathematical model was set up and solved by the finite element method. The simulation results showed that the image reconstruction quality obtained by threshold Landweber reconstruction algorithm is better than that obtained by LBP and the algorithm without threshold, and the convergence rate can be accelerated.

Key words: magnetic induction tomography (MIT), image reconstruction, Landweber; thresholding; finite element method

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