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.