P J Vauhkonen

TL;DR: This paper proposes a finite element-based method for the reconstruction of three-dimensional resistivity distributions based on the so-called complete electrode model that takes into account the presence of the electrodes and the contact impedances and results from static and dynamic reconstructions with real measurement data are given.

TL;DR: A MATLAB package is written which can be used for two-dimensional mesh generation, solving the forward problem and reconstructing and displaying the reconstructed images (resistivity or admittivity).

TL;DR: In this paper, a complete electrode model (CEM) is used to estimate the contact impedance of the electrodes simultaneously with the estimation of the admittivity of the object in electrical impedance tomography (EIT).

TL;DR: In this paper, the state estimation problem is solved with the fixed-lag Kalman smoother algorithm, which can be stated in different ways based on the available temporal information and can be used to obtain the tomographic reconstructions of rapidly varying objects in process tomography.

TL;DR: An approach to measure, reconstruct and visualize three-dimensional electrical impedance tomography images in real time based on a difference imaging scheme and shows that 3D air/liquid distribution in the stirred vessel can reliably be visualized inreal time and material flow can be monitored in a 3D section of the flow loop.