Stroke diagnosis using microwave techniques: Review of systems and algorithms
Microwave imaging has recently drawn increasing attention due to its potential for rapid
stroke diagnosis using this low-cost, and non-ionizing modality. Besides, this modality can …
stroke diagnosis using this low-cost, and non-ionizing modality. Besides, this modality can …
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 …
because of its advantages of real-time imaging and nature of being non-invasive and …
FISTA-Net: Learning a fast iterative shrinkage thresholding network for inverse problems in imaging
Inverse problems are essential to imaging applications. In this letter, we propose a model-
based deep learning network, named FISTA-Net, by combining the merits of interpretability …
based deep learning network, named FISTA-Net, by combining the merits of interpretability …
Optimized pollard route deviation and route selection using Bayesian machine learning techniques in wireless sensor networks
Optimal route selection and circumventing the route deviation is essential in sensor
transmission to reach the destination properly and to save energy in sensors. Wireless …
transmission to reach the destination properly and to save energy in sensors. Wireless …
Mask-guided spatial–temporal graph neural network for multifrequency electrical impedance tomography
Multifrequency electrical impedance tomography (mfEIT) is an emerging biomedical imaging
modality that exploits frequency-dependent electrical properties. The mfEIT image …
modality that exploits frequency-dependent electrical properties. The mfEIT image …
A review of algorithms and hardware implementations in electrical impedance tomography
Z Zong, Y Wang, Z Wei - Progress In Electromagnetics Research, 2020 - jpier.org
In recent years, electrical impedance tomography (EIT) has attracted intensive interests due
to its noninvasive, ionizing radiation-free, and low-cost advantages, which is promising for …
to its noninvasive, ionizing radiation-free, and low-cost advantages, which is promising for …
MMV-net: A multiple measurement vector network for multifrequency electrical impedance tomography
Multifrequency electrical impedance tomography (mfEIT) is an emerging biomedical imaging
modality to reveal frequency-dependent conductivity distributions in biomedical applications …
modality to reveal frequency-dependent conductivity distributions in biomedical applications …
A portable non-invasive microwave based head imaging system using compact metamaterial loaded 3D unidirectional antenna for stroke detection
A metamaterial (MTM) loaded compact three-dimensional antenna is presented for the
portable, low-cost, non-invasive microwave head imaging system. The antenna has two …
portable, low-cost, non-invasive microwave head imaging system. The antenna has two …
Multifrequency magnetic induction tomography for hemorrhagic stroke detection using an adaptive threshold split bregman algorithm
T Zhang, W Zhang, X Liu, M Dai, Q Xuan… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Magnetic induction tomography (MIT) is viewed as a promising method for brain imaging.
Most MIT studies are based on time-difference imaging, which cannot be used for detecting …
Most MIT studies are based on time-difference imaging, which cannot be used for detecting …
A digital twin of electrical tomography for quantitative multiphase flow imaging
Multiphase flow is ubiquitous in nature, industry and research, and accurate flow imaging is
critical to understanding this complex phenomenon. Electrical tomography (ET) is a …
critical to understanding this complex phenomenon. Electrical tomography (ET) is a …