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Quoc Tuan Nguyen Diep, Hoang Nhut Huynh, Minh Quan Cao Dinh, Thanh Ven Huynh, Anh Tu Tran and Trung Nghia Tran
This research investigates the critical role of frequency selection in Electrical Impedance Tomography (EIT), a non-invasive imaging technique that reconstructs internal conductivity distributions through injected electrical currents. Empirical frequency...
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Xin Peng, Shaoheng Chun, Benyu Su, Rujun Chen, Shenglan Hou, Chao Xu and Haojie Zhang
Research on the electrical properties of rocks and ores plays a crucial role in the development of geophysical electromagnetism methods. However, currently available instruments suffer from high power consumption, a limited number of electrodes, inaccura...
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Ning Liu, Shihong Yue and Yibo Wang
Electrical impedance tomography (EIT) is an advanced visualization detection technique with non-invasive, radiationless, and fast-response characteristics. As an important means in dredging engineering, EIT-based measurement can realize the estimate and ...
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Jöran Rixen, Nico Blass, Simon Lyra and Steffen Leonhardt
Breast cancer is the leading cause of cancer-related death among women. Early prediction is crucial as it severely increases the survival rate. Although classical X-ray mammography is an established technique for screening, many eligible women do not con...
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Chowdhury Abrar Faiyaz, Pabel Shahrear, Rakibul Alam Shamim, Thilo Strauss and Taufiquar Khan
This paper aims to determine whether regularization improves image reconstruction in electrical impedance tomography (EIT) using a radial basis network. The primary purpose is to
investigate the effect of regularization to estimate the network parameters...
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Jöran Rixen, Steffen Leonhardt, Jochen Moll, Duy Hai Nguyen and Chuong Ngo
Electrical impedance tomography (EIT) is an imaging modality that can estimate a visualization of the conductivity distribution inside the human body. However, the spatial resolution of EIT is limited because measurements are sensitive to noise. We inves...
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Ferenc Izsák and Taki Eddine Djebbar
We propose neural-network-based algorithms for the numerical solution of boundary-value problems for the Laplace equation. Such a numerical solution is inherently mesh-free, and in the approximation process, stochastic algorithms are employed. The chief ...
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Noelia Vaquero-Gallardo and Herminio Martínez-García
Electrical impedance tomography (EIT) is based on the physical principle of bioimpedance defined as the opposition that biological tissues exhibit to the flow of a rotating alternating electrical current. Consequently, here, we propose studying the chara...
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Ivan Shcherbakov,Nikolay Gorbatenko,Roman Polyakov,Konstantin Shirokov
Pág. 60 - 69
When developing and determining the principles of construction and algorithms for the operation of electrical impedance tomography devices, it is necessary to verify the adequacy of the adopted circuitry solutions, their technical level and the possibili...
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Andrey Katsupeev,Grayr Aleksanyan,Ellina Kombarova,Roman Polyakov
Pág. 44 - 54
The structure of the software for electric impedance tomography has been presented. This structure of application construction makes it possible to carry out the real-time EIT research and can be implemented on medical and technical devices, in particula...
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