Advances of deep learning in electrical impedance tomography image reconstruction

T Zhang, X Tian, XC Liu, JA Ye, F Fu, XT Shi… - … in Bioengineering and …, 2022 - frontiersin.org
Electrical impedance tomography (EIT) has been widely used in biomedical research
because of its advantages of real-time imaging and nature of being non-invasive and …

Artificial sensitive skin for robotics based on electrical impedance tomography

K Liu, Y Wu, S Wang, H Wang, H Chen… - Advanced Intelligent …, 2020 - Wiley Online Library
Electrical impedance tomography (EIT) is a noninvasive measurement technique that
estimates the internal resistivity distribution based on the boundary voltage–current data …

A two-stage deep learning method for robust shape reconstruction with electrical impedance tomography

S Ren, K Sun, C Tan, F Dong - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
As a noninvasive and radiation-free imaging modality, electrical impedance tomography
(EIT) has attracted much attention in the last two decades and owns many industry and …

[PDF][PDF] Survey on medical imaging of electrical impedance tomography (EIT) by variable current pattern methods

EEB Adam, E Babikir - Journal of ISMAC, 2021 - researchgate.net
Recently, the image reconstruction study on EIT plays a vital role in the medical application
field for validation and calibration purpose. This research article analyzes the different types …

Time sequence learning for electrical impedance tomography using Bayesian spatiotemporal priors

S Liu, R Cao, Y Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
As an emerging technology for continuous monitoring of a bounded domain, electrical
impedance tomography (EIT) gains increasing popularity in various applications. Despite …

V-shaped dense denoising convolutional neural network for electrical impedance tomography

X Zhang, Z Wang, R Fu, D Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Electrical impedance tomography (EIT) is a state-of-the-art noninvasive imaging method,
which is sensitive to the dynamic changes of the lung impedance. However, the nonlinear ill …

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 …

CT image-guided electrical impedance tomography for medical imaging

Z Li, J Zhang, D Liu, J Du - IEEE transactions on medical …, 2019 - ieeexplore.ieee.org
This study presents a computed tomography (CT) image-guided electrical impedance
tomography (EIT) method for medical imaging. CT is a robust imaging modality for …

A statistical shape-constrained reconstruction framework for electrical impedance tomography

S Ren, K Sun, D Liu, F Dong - IEEE transactions on medical …, 2019 - ieeexplore.ieee.org
A statistical shape-constrained reconstruction (SSCR) framework is presented to incorporate
the statistical prior information of human lung shapes for lung electrical impedance …

Development of a wearable electrical impedance tomographic sensor for gesture recognition with machine learning

J Yao, H Chen, Z Xu, J Huang, J Li… - IEEE journal of …, 2019 - ieeexplore.ieee.org
A wearable electrical impedance tomographic (wEIT) sensor with 8 electrodes is developed
to realize gesture recognition with machine learning algorithms. To optimize the wEIT …