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Deep D-bar: Real-time electrical impedance tomography imaging with deep neural networks
The mathematical problem for electrical impedance tomography (EIT) is a highly nonlinear ill-
posed inverse problem requiring carefully designed reconstruction procedures to ensure …
posed inverse problem requiring carefully designed reconstruction procedures to ensure …
Dominant-current deep learning scheme for electrical impedance tomography
Objective: Deep learning has recently been applied to electrical impedance tomography
(EIT) imaging. Nevertheless, there are still many challenges that this approach has to face …
(EIT) imaging. Nevertheless, there are still many challenges that this approach has to face …
Advances in electrical impedance tomography inverse problem solution methods: From traditional regularization to deep learning
Electrical Impedance Tomography (EIT) has emerged as a valuable medical imaging
modality, which visualizes the conductivity distribution of a subject by performing multi …
modality, which visualizes the conductivity distribution of a subject by performing multi …
Graph convolutional networks for model-based learning in nonlinear inverse problems
The majority of model-based learned image reconstruction methods in medical imaging
have been limited to uniform domains, such as pixelated images. If the underlying model is …
have been limited to uniform domains, such as pixelated images. If the underlying model is …
NAS powered deep image prior for electrical impedance tomography
H ** review
L Youssef Baby, RS Bedran, A Doumit… - … in Bioengineering and …, 2024 - frontiersin.org
This sco** review summarizes two emerging electrical impedance technologies: electrical
impedance myography (EIM) and electrical impedance tomography (EIT). These methods …
impedance myography (EIM) and electrical impedance tomography (EIT). These methods …
Feature-based inversion using variational autoencoder for electrical impedance tomography
A feature-based inversion method is presented to incorporate structural prior information of
the human thorax for absolute imaging in electrical impedance tomography (EIT). A set of …
the human thorax for absolute imaging in electrical impedance tomography (EIT). A set of …
Neural network-based supervised descent method for 2D electrical impedance tomography
Objective: In this work, we study the application of the neural network-based supervised
descent method (NN-SDM) for 2D electrical impedance tomography. Approach: The NN …
descent method (NN-SDM) for 2D electrical impedance tomography. Approach: The NN …