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 …
Review of microwave imaging algorithms for stroke detection
J Liu, L Chen, H Xiong, Y Han - Medical & Biological Engineering & …, 2023 - Springer
Microwave imaging is one of the rapidly developing frontier disciplines in the field of modern
medical imaging. The development of microwave imaging algorithms for reconstructing …
medical imaging. The development of microwave imaging algorithms for reconstructing …
Automatic identification of early ischemic lesions on non-contrast CT with deep learning approach
PK Sahoo, S Mohapatra, CY Wu, KL Huang… - Scientific Reports, 2022 - nature.com
Early ischemic lesion on non-contrast computed tomogram (NCCT) in acute stroke can be
subtle and need confirmation with magnetic resonance (MR) image for treatment decision …
subtle and need confirmation with magnetic resonance (MR) image for treatment decision …
Clinical electromagnetic brain scanner
Stroke is a leading cause of death and disability worldwide, and early diagnosis and prompt
medical intervention are thus crucial. Frequent monitoring of stroke patients is also essential …
medical intervention are thus crucial. Frequent monitoring of stroke patients is also essential …
An explainable deep learning method for microwave head stroke localization
W Lai, L Guo, K Bialkowski… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
In this article, an explainable deep learning scheme is proposed to tackle microwave
imaging for the task of multiple object localisation. Deep learning has been involved in …
imaging for the task of multiple object localisation. Deep learning has been involved in …
Stroke classification with microwave signals using explainable wavelet convolutional neural network
Stroke is one of the leading causes of death and disability. To address this challenge,
microwave imaging has been proposed as a portable medical imaging modality. However …
microwave imaging has been proposed as a portable medical imaging modality. However …
Wearable Microwave Medical Sensing for Stroke Classification and Localization: A Space-Division-Based Decision-Tree Learning Method
Z Gong, Y Ding, Y Chen, MJ Cree - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Microwave medical imaging systems have shown a competitive advantage in stroke
detection due to their cost-effectiveness, non-ionization, and portability. However, these …
detection due to their cost-effectiveness, non-ionization, and portability. However, these …
Experimental validation of the DBIM-TwIST algorithm for brain stroke detection and differentiation using a multi-layered anatomically complex head phantom
We present an experimental validation of the distorted Born iterative method with the two-
step iterative shrinkage thresholding (DBIM-TwIST) algorithm for the problem of brain stroke …
step iterative shrinkage thresholding (DBIM-TwIST) algorithm for the problem of brain stroke …
Pre-Hospital Stroke Care beyond the MSU
K Röhrs, H Audebert - Current Neurology and Neuroscience Reports, 2024 - Springer
Purpose of review Mobile stroke units (MSU) have established a new, evidence-based
treatment in prehospital stroke care, endorsed by current international guidelines and can …
treatment in prehospital stroke care, endorsed by current international guidelines and can …
Beat pilot tone: versatile, contact-free motion sensing in MRI with radio frequency intermodulation
Motion in Magnetic Resonance Imaging (MRI) scans results in image corruption and
remains a barrier to clinical imaging. Motion correction algorithms require accurate sensing …
remains a barrier to clinical imaging. Motion correction algorithms require accurate sensing …