Electrical impedance tomography image reconstruction with attention-based deep convolutional neural network

Z Wang, X Zhang, R Fu, D Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Electrical impedance tomography (EIT) is a promising functional and structural imaging
method in process tomography. However, due to the “soft-field” nature and the high …

Image reconstruction using supervised learning in wearable electrical impedance tomography of the thorax

M Ivanenko, WT Smolik, D Wanta, M Midura… - Sensors, 2023 - mdpi.com
Electrical impedance tomography (EIT) is a non-invasive technique for visualizing the
internal structure of a human body. Capacitively coupled electrical impedance tomography …

A deep generative model-integrated framework for 3-D time-difference electrical impedance tomography

K Zhang, L Wang, R Guo, Z Lin, M Li… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The time-difference image reconstruction problem of electrical impedance tomography (EIT)
refers to reconstructing the conductivity change in a human body part between two time …

HybridDenseU-Net: learning a multi-scale convolution and dense connectivity CNN for inverse imaging problems

B Zhang, Z Wang, X Chen, Q Wang… - Measurement Science …, 2023 - iopscience.iop.org
Inverse imaging problems (IIPs) is a cutting-edge technology which is part of the nonlinear
inverse problem, the solution approaches to which have placedattention on deep learning …

Generative-Adversarial-Network-Based Image Reconstruction for the Capacitively Coupled Electrical Impedance Tomography of Stroke

M Ivanenko, D Wanta, WT Smolik, P Wróblewski… - Life, 2024 - mdpi.com
This study investigated the potential of machine-learning-based stroke image reconstruction
in capacitively coupled electrical impedance tomography. The quality of brain images …

FFT-accelerated transformation-domain image reconstruction for electrical impedance tomography

Z Zhou, M Li, X Chen, Z Wei, K Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Electrical impedance tomography (EIT) is a promising imaging technique that recovers the
conductivity distribution inside a domain from noninvasive electrical measurements on the …

Characteristics and topic trends on electrical impedance tomography hardware publications

S Qin, Y Yao, Y Xu, D Xu, Y Gao, S Xing, Z Li - Frontiers in Physiology, 2022 - frontiersin.org
Objective: Electrical impedance tomography (EIT) is a technique to measure electrical
properties of tissue. With the progress of modern integrated circuits and microchips, EIT …

Simultaneous conductivity and permeability reconstructions for electromagnetic tomography using deep learning

W Zhang, Z Zhu, Y Geng - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Electromagnetic tomography (EMT) is a research hotspot in electrical tomography, which
has wide application prospect for multiphase flow measurement. The existing EMT usually …

[HTML][HTML] The use of the multi-sequential LSTM in electrical tomography for masonry wall moisture detection

M Kulisz, G Kłosowski, T Rymarczyk, A Hoła, K Niderla… - Measurement, 2024 - Elsevier
The study describes an innovative approach to reconstructing moisture distribution within
walls using EIT, extending beyond the conventional single measurement vector methods …

Advances in Electrical Impedance Tomography Inverse Problem Solution Methods: From Traditional Regularization to Deep Learning

C Dimas, V Alimisis, N Uzunoglu, P Sotiriadis - IEEE Access, 2024 - ieeexplore.ieee.org
Electrical Impedance Tomography (EIT) has emerged as a valuable medical imaging
modality, which visualizes the conductivity distribution of a subject by performing multi …