Electrical impedance tomography for human lung reconstruction based on TV regularization algorithm

  • Wenru Fan
  • Published 2012 in
    2012 Third International Conference on…

Abstract

To solve the ill-posed problem in electrical impedance tomography (EIT) and overcome the blur effect made by conventional L2 Tikhonov regularization, a new two-step iterative regularization algorithm is applied for the process reconstruction of lung respiration. This algorithm is based on total variation (TV) regularization method, and uses a two-step iterative method with TV denoising operator, so that it can achieve double regularization effect. This algorithm has advantages in both resolution and robustness. Both simulation and experiment results are executed to prove the effectiveness of TV regularization method.

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Cite this paper

@article{Fan2012ElectricalIT, title={Electrical impedance tomography for human lung reconstruction based on TV regularization algorithm}, author={Wenru Fan}, journal={2012 Third International Conference on Intelligent Control and Information Processing}, year={2012}, pages={660-663} }