Localization of hemorrhage site in stroke patients using multichannel microwave measurements

Mesri, Hamed Y.

doi:10.1109/embc.2012.6347343

Cited by 9 publications

(3 citation statements)

References 7 publications

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“…Besides, microwaves enable screening of the whole head, especially at lower microwave frequencies. Microwave-based techniques have been actively studied e.g., for detection of brain hemorrhages and strokes [69][70][71][72][73], brain water dynamics [74], tumors [75,76]. Recently, microwave techniques have also been recognized to have the potential for monitoring cerebral circulation [77][78][79][80][81].…”

Section: Microwave-based Methodsmentioning

confidence: 99%

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Measurement of Cerebral Circulation in Human

Moradi¹,

Ferdinando²,

Zienkiewicz³

et al. 2022

Cerebral Circulation - Updates on Models, Diagnostics and Treatments of Related Diseases

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In this chapter, we review state-of-the-art non-invasive techniques to monitor and study cerebral circulation in humans. The measurement methods can be divided into two categories: direct and indirect methods. Direct methods are mostly based on using contrast agents delivered to blood circulation. Clinically used direct methods include single-photon emission computed tomography (SPECT), positron emission tomography (PET), magnetic resonance imaging (MRI) with contrast agents, xenon computed tomography (CT), and arterial spin labeling (ASL) MRI. Indirect techniques are based on measuring physiological parameters reflecting cerebral perfusion. The most commonly used indirect methods are near-infrared spectroscopy (NIRS), transcranial Doppler ultrasound (TCD), and phase-contrast MRI. In recent years, few more techniques have been intensively developed, such as diffuse correlation spectroscopy (DCS) and microwave-based techniques, which are still emerging as methods for cerebral circulation monitoring. In addition, methods combining different modalities are discussed and, as a summary, the presented techniques and their benefits for cerebral circulation will be compared.

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Section: Microwave-based Methodsmentioning

confidence: 99%

“…Originally, detection of the changes in blood volume in the brain area was applied for the detection of brain hemorrhage [72,73]. The idea was further extended in [81] for initial blood circulation detection studies using a single chip implementation of an ultra-wideband impulse radar.…”

Section: Detection Of Changes In Blood Volumementioning

confidence: 99%

Measurement of Cerebral Circulation in Human

Moradi¹,

Ferdinando²,

Zienkiewicz³

et al. 2022

Cerebral Circulation - Updates on Models, Diagnostics and Treatments of Related Diseases

View full text Add to dashboard Cite

show abstract

“…By being low-cost, portable and utilising nonionizing radiation, a microwave system for brain imaging can be an important tool for a first response ambulance team whose actions are critical to the patient's recovery. Reviewing the literature shows that most of the efforts concerning microwave imaging of the human brain rely on computer simulations [3]- [10] or experiments using oversimplified systems and head phantoms [11]- [13].…”

Section: Introductionmentioning

confidence: 99%

Microwave systems for head imaging: Challenges and recent developments

Abbosh

2013

2013 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applicati

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Recent advances indicate that microwave-based imaging systems have the potential to be used for head imaging. Such a type of application is specifically important for brain stroke detection. The details of a system built at the University of Queensland are explained with some initial results that prove its potential to be improved for a pre-clinical stage. The technical challenges facing that system and others are explained.Index Terms -Head imaging, microwave imaging.

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Detection of Brain Hemorrhage in White Matter Using Analysis of Radio Channel Characteristics

Särestöniemi

Pomalaza‐Ráez

Hakala

et al. 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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This paper presents a simulation-based study on detection of stroke/brain hemorrhage even in the white matter using radio channel characteristics analysis. The idea is to utilize the fact that blood has different dielectric properties than brain's white and grey matters and, thus, additional blood areas inside the brain change radio channel characteristics between the transmitter and receiver antennas located on the opposite sides of the head. The antennas should be strongly directive and designed to work attached to the body surface so that hemorrhages even in the white matter could be detected. The study is conducted using the electromagnetic simulation software CST and two different simulation models: a spherical tissue layer model and an anatomical voxel model. The antennas used in this study are bio-matched mini-horn antennas designed for implant communications at 1-4 GHz frequency range. Different sizes of the blood areas are evaluated. This initial study shows how even small sizes of hemorrhage can change radio channel even as the hemorrhage is located in the middle of the brain, in the white matter. The path loss difference is 0.5-10 dB between the hemorrhage and reference cases depending on the size and location of the hemorrhage. A practical solution of this hemorrhage detection technique could be a portable helmet type of structure having several small sized antennas around the internal part of the helmet. Such a helmet would be easy to use e.g. in ambulance, which would enable early detection of hemorrhage in its early phase and, hence, improve prospects of the cure significantly.

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Localization of hemorrhage site in stroke patients using multichannel microwave measurements

Cited by 9 publications

References 7 publications

Measurement of Cerebral Circulation in Human

Measurement of Cerebral Circulation in Human

Microwave systems for head imaging: Challenges and recent developments

Detection of Brain Hemorrhage in White Matter Using Analysis of Radio Channel Characteristics

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