Stroke diagnosis using microwave techniques: Review of systems and algorithms

L Guo, ASM Alqadami, A Abbosh - IEEE Journal of …, 2022 - ieeexplore.ieee.org
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 …

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 …

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 …

Clinical electromagnetic brain scanner

A Abbosh, K Bialkowski, L Guo, A Al-Saffar… - Scientific Reports, 2024 - nature.com
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 …

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 …

Stroke classification with microwave signals using explainable wavelet convolutional neural network

S Hasan, A Zamani, A Brankovic… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
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 …

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 …

Experimental validation of the DBIM-TwIST algorithm for brain stroke detection and differentiation using a multi-layered anatomically complex head phantom

O Karadima, P Lu, I Sotiriou… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
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 …

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 …

Beat pilot tone: versatile, contact-free motion sensing in MRI with radio frequency intermodulation

S Anand, M Lustig - arXiv preprint arXiv:2306.10236, 2023 - arxiv.org
Motion in Magnetic Resonance Imaging (MRI) scans results in image corruption and
remains a barrier to clinical imaging. Motion correction algorithms require accurate sensing …