An Image Reconstruction Algorithm for ECT Using Enhanced Model and Sparsity Regularization

An image reconstruction algorithm for electrical capacitance tomography (ECT) using enhanced linear model and sparsity regularization (EMSR) is proposed in this paper. Compared to the traditional ECT linear model, the enhanced linear model takes the nonlinear effect of different capacitance groups and the sensitivity error into account. In addition, the sparsity of permittivity distributions under wavelet basis is investigated and utilized as the regularization term. The proposed algorithm using enhanced model and sparsity regularization is noted as EMSR and the performance is verified by using simulation data and experiment data. Both the simulation and experiment results indicate the potentiality of this method.