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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...
In this paper, we propose a new metal defect detection method using electromagnetic tomography (EMT) technique, which is used to measure the alternating magnetic signal modulated by defects in the metal, and then the distribution of defects is reconstructed. Due to the sparsity of the defect distribution, the l1 regularization method for EMT reconstruction is presented to solve the sparse problem...
Early lung cancer identification is a very promising way to prevent and cure lung cancer. The current lung cancer identification method based on the X-ray computed tomography difficultly identify the early lung cancer, while the electrical resistance tomography (ERT) technique has potential to overcome the problem by visualizing the human respiratory system. The original ERT system has poor quality...
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...
Carbon-fiber-reinforced polymer (CFRP) composites derive their excellent mechanical strength, stiffness and electrical conductivity from carbon fibers. The internal damage of CFRP composites, such as fiber fracture and delamination, decreases the conductivity of composite laminates. The present study employs an electrical impedance tomography (EIT) method for monitoring damages in CFRP composites...
Total variation (TV) regularization method is widely used to solve the inverse problem of Electrical resistance tomography (ERT), which is ill-posed. However, TV regularization often suffers the staircases effect. To reduce those staircases effect, a modified TV regularization, called adaptive total variation (ATV) regularization, is proposed in this paper, which automatically adjusts the regularization...
Electrical impedance tomography (EIT) aims to estimate the electrical properties at the interior of an object from current-voltage measurements on its boundary. The image reconstruction for EIT is an inverse problem, which is both nonlinear and ill-posed. The traditional regularization method cannot avoid producing artefacts in reconstructed images in the presence of oscillatory noise with negative...
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...
A direct reconstruction method for electromagnetic tomography (EMT) is introduced. It is suitable to reconstruct the distributions with high permeability and low conductivity. By using the proposed method, the permeability distribution in any part of the region of interest can be obtained directly and independently. Simulated data for EMT with sixteen coils were obtained in two dimensions. Neither...
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