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Electrical Impedance Tomography Using Evolutionary Computing: A Review
Published in D. P. Acharjya, V. Santhi, Bio-Inspired Computing for Image and Video Processing, 2018
Wellington Pinheiro dos Santos, Ricardo Emmanuel de Souza, Reiga Ramalho Ribeiro, Allan Rivalles Souza Feitosa, Valter Augusto de Freitas Barbosa, Victor Luiz Bezerra Arajo da Silva, David Edson Ribeiro, Rafaela Covello de Freitas
Electrical impedance tomography (EIT) is an image technique based on the application of an alternating electrical current through electrodes placed around the region to be imaged and on the measurement of the resulting electrical potentials in the remaining electrodes. Therefore, the EIT images represent a map of the estimation of the electrical properties of the medium. EIT has the advantage of being non-invasive, free of ionizing radiation, and low cost compared to other image techniques, having applications in geophysics, industrial, biological, and medical areas. However, the EIT image reconstruction process is an inverse, ill-posed, and ill-conditioned problem that results in high computational cost and images with low spatial resolution. One way to reconstruct an EIT image is by treating this problem as an optimization problem that can be solved by methods of evolutionary computing. The aim of this approach is to minimize the root mean square relative error between the electrical potentials measured and simulated. This chapter addresses the basic principles of the EIT and the image reconstruction as an optimization problem solved by the following search and optimization algorithms: genetic algorithms, simulated annealing, particle swarm optimization, and fish school search. A brief explanation of these algorithms is given as well.
Experimental study on the application of EIT to the measurement of concentration distribution in the dredge pipeline
Published in Guojun Hong, Gongxun Liu, Liquan Xie, Hydraulic Engineering V, 2018
Chaozhe Yuan, Jin Xing, Runli Tao, Jifu Yin, Guojun Hong
EIT (Electrical Impedance Tomography) technology has been widely used in the medical field, which is a noninvasive type of medical imaging used to acquire human biomedical data from its electric properties and the changes of tissues and organs. The EIT system consists of three main parts, namely excitation power supply, measuring system, and inversion algorithm. In the process of inversion of the conductance distribution, the excitation power supply is used to add an electric field of the test body part, and the current injection mode and the measured voltage data are used to image the internal conductance distribution, according to a certain image reconstruction algorithm. Electrical impedance tomography is an important means for the detection of human information in medicine. This technology is characterized by noninvasive property, low cost, safety, nontoxic side effects, simple operation, and rich information. Furthermore, it is widely accepted by doctors and patients (S.F. Rao, 2016).
A modified Levenberg–Marquardt scheme for solving a class of parameter identification problems
Published in Applicable Analysis, 2023
Electrical Impedance Tomography(EIT) is a non-invasive imaging technique which has it's applications mostly in medical imaging as well as in geology, civil engineering, material engineering, chemical engineering, etc. The basic principle of EIT is to produce the image of a region using the variations occurring in it's conductivity as a result of any anomalies present in it [15, 16]. This process is done by subjecting the domain under consideration to numerous current injection patterns. Different pairs of electrodes connected to the boundary of the domain carry current in each step and the corresponding electrode potentials are measured. A considerable number of current driven electrode combinations give us sufficient data to work with and thereby helps in reconstructing the conductivity of the domain.
A harmonic
Published in Inverse Problems in Science and Engineering, 2018
Kiwan Jeon, Chang-Ock Lee, Eung Je Woo
There have been numerous studies to develop electrical conductivity imaging techniques for clinical applications for the last three decades [1,2]. By injecting currents and measuring induced voltages using surface electrodes, electrical impedance tomography (EIT) visualizes distributions of electrical conductivity and permittivity inside the human body [3]. EIT is advantageous as a real-time functional imaging method with a high-temporal resolution where changes of internal conductivity distributions are continuously monitored. Its spatial resolution is, however, much lower than those of other imaging modalities such as magnetic resonance imaging, X-ray computerized tomography and ultrasound imaging, since the spatial resolution depends on the number of electrodes and the image reconstruction problem is a severely ill-posed inverse problem.
An efficient one-step proximal method for EIT sparse reconstruction based on nonstationary iterated Tikhonov regularization
Published in Applied Mathematics in Science and Engineering, 2023
Electrical impedance tomography (EIT) principle is that by injecting a constant current across the interested object, the induced voltage distribution resulting on the surface electrodes will reflect the internal conductivity distribution. EIT is a so-called ‘soft-field’ tomography technique, which is intrinsically different in comparison to the ‘hard-field’ techniques such as computed tomography (CT) and magnetic resonance imaging (MRI). Due to its advantages of low cost, non-invasiveness, non-radiation and visualization, EIT is a widely investigated problem with many effective applications in geophysical, industrial and biological medical sciences.