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has been cited by the following article:

• TITLE: Threshold strategy to improve the images reconstructed by electrical impedance tomography

  AUTHORS: Xiaoyan Chen, Jing Zhang

  KEYWORDS: Electrical Impedance Tomography; Threshold Strategy; Reconstruction Algorithm; Image Evaluation

  JOURNAL NAME: Journal of Biosciences and Medicines, Vol.1 No.2, December 10, 2013

  ABSTRACT: Because of the illposedness of soft field, the quality of EIT images is not satisfied as expected. This paper puts forward a threshold strategy to decrease the artifacts in the reconstructed images by modifying the solutions of inverse problem. Threshold strategy is a kind of post processing method with merits of easy, direct and efficient. Reconstructed by Gauss-Newton algorithm, the simulation image’s quality is improved evidently. We take two performance targets, image reconstruction error and correlation coefficient, to evaluate the improvement. The images and the data show that threshold strategy is effective and achievable.