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Digital twin-assisted three-dimensional electrical capacitance tomography for multiphase flow imaging
Three-dimensional electrical capacitance tomography (3D-ECT) has shown promise for visualizing industrial multiphase flows.
Regularized Shallow Image Prior for Electrical Impedance Tomography
The results suggest that combining the shallow image prior and the hand-crafted regularization can achieve similar performance to the Deep Image Prior (DIP) but with less architectural dependency and complexity of the neural network.
A Learning-Based 3D EIT Image Reconstruction Method
Deep learning has been widely employed to solve the Electrical Impedance Tomography (EIT) image reconstruction problem.
MMV-Net: A Multiple Measurement Vector Network for Multi-frequency Electrical Impedance Tomography
Deep learning has been extensively applied in solving the EIT inverse problem in biomedical and industrial process imaging.
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