An Improved Conjugate Gradient Image Reconstruction Algorithm for Electromagnetic Tomography

2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Xianglong Liu ◽  
Ying Wang
2011 ◽  
Vol 181-182 ◽  
pp. 629-635 ◽  
Author(s):  
Yu Chen ◽  
Jun Cao ◽  
De Yun Chen

To solve the‘soft-field’nature and the ill-posed problem in electrical capacitance tomography (ECT)technology, a novel preconditioned conjugate gradient algorithm for electrical capacitance tomography is presented. The analysis of the basic principles of electrical capacitance tomography, based on the given preconditioned conjugate gradient method and calculation formula of the iteration steps of the ECT and to explore the feasibility of application of the algorithm, the algorithm to meet the convergence conditions and the reconstruction image error. Experimental results and simulation data indicate that the algorithm can provide high quality images and favorable stabilization compared with LBP,conjugate gradient algorithms in simple flow pattern and this new algorithm presents a feasible and effective way to research on image reconstruction algorithm for Electrical Capacitance Tomography System.


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