Directional Algebraic Reconstruction Technique for Electrical Impedance Tomography

We assume that the resistance matrix can be found in electrical impedance tomography (EIT) from the assumption of linear dependence between the voltages and the currents. With the help of the resistance matrix and the transfer impedance between the electrodes, a directional algebraic reconstruction technique (DART) is proposed for EIT. The goal is to reconstruct the resistivity distribution by weighting the matrices that are obtained by calculating the orthogonal distance of the underlying mesh elements from the neighboring port resistivity lines. These weighting matrices, which only depend on the topology of the underlying mesh, can be calculated offline and result in a computationally efficient online procedure with a reasonable image reconstruction performance. Simulation results are provided to validate this approach.