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Imaging objects in electrical impedance tomography (EIT) measurement are often in a dynamic evolution process, and exploiting the spatial-temporal properties for the dynamic reconstruction objects is crucial for the improvement of the reconstruction quality. In this paper, the linearized equation system for dynamic EIT is established based on spatio-temporal representation. Due to the spatial redundancy...
Image reconstruction for electrical impedance tomography (EIT) is a nonlinear problem. A generalized inverse operator is usually ill-posed and ill-conditioned. Therefore, the solutions for EIT are not unique and highly sensitive to the measurement noise. To improve the image quality, a new image reconstruction algorithm for EIT based on patch-based sparse representation is proposed. For each iterative...
Electrical impedance tomography (EIT) is a technique for reconstructing conductivity of an inhomogeneous medium by injecting currents at the boundary of an object and measuring the resulting changes in voltage. The SNR of acquisitive data and the reconstructed image quality of EIT system are directly determined by current drive patterns. In this paper, eight current drive patterns with the same boundary...
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