Abstract
Electrical impedance tomography (EIT) is applied to visualize the electrical conductivity distribution of a mixture of materials. Due to the “ soft-field” effect and nonlinear problem, it is difficult to effectively reconstruct images in EIT. A number of image reconstruction algorithms have been proposed, and the linear back-projection (LBP) algorithm is one of the most common algorithm owing to its advantages of real-time imaging and no parameter. In this paper, an iterative LBP (ILBP) method is proposed to reduce the artifacts around the objects and improve the accuracy of the position and the shapes of objects. Simulation results show that the images reconstructed by ILBP have better quality than the images reconstructed by original LBP, sensitivity coefficient and Landweber algorithm; as the number of iterations increases, the quality of ILBP images gradually grows until it reaches a stable state.
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