Microwave Imaging for Stroke Detection: Validation on Head-mimicking Phantom

Sohani, Behnaz; Tiberi, Gianluigi; Ghavami, Navid; Ghavami, Mohammad; Dudley, Sandra; Rahmani, Amir

doi:10.1109/piers-spring46901.2019.9017851

Cited by 20 publications

(11 citation statements)

References 13 publications

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“…The use of UWB offers numerous benefits, for instance high resolution (owing to the high bandwidth spectrum) in order to indicate the inclusions in resulting images, high capacity and reliability, and low power transmission. The same principle has been applied to determine the contrast between blood and brain matter to identify stroke in head mimicking phantoms [ 15 ]. In this paper, an algorithm based on HP is applied to forward propagate the waves [ 16 ].…”

Section: Methodsmentioning

confidence: 99%

Developing Artefact Removal Algorithms to Process Data from a Microwave Imaging Device for Haemorrhagic Stroke Detection

Sohani

Puttock

Khalesi

et al. 2020

Sensors

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In this paper, we present an investigation of different artefact removal methods for ultra-wideband Microwave Imaging (MWI) to evaluate and quantify current methods in a real environment through measurements using an MWI device. The MWI device measures the scattered signals in a multi-bistatic fashion and employs an imaging procedure based on Huygens principle. A simple two-layered phantom mimicking human head tissue is realised, applying a cylindrically shaped inclusion to emulate brain haemorrhage. Detection has been successfully achieved using the superimposition of five transmitter triplet positions, after applying different artefact removal methods, with the inclusion positioned at 0°, 90°, 180°, and 270°. The different artifact removal methods have been proposed for comparison to improve the stroke detection process. To provide a valid comparison between these methods, image quantification metrics are presented. An “ideal/reference” image is used to compare the artefact removal methods. Moreover, the quantification of artefact removal procedures through measurements using MWI device is performed.

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Section: Methodsmentioning

confidence: 99%

Developing Artefact Removal Algorithms to Process Data from a Microwave Imaging Device for Haemorrhagic Stroke Detection

Sohani

Puttock

Khalesi

et al. 2020

Sensors

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“…Moreover, they are neither quick, affordable, and transportable nor accessible in rural health centers. 1,2 However, MRI is quite a costly diagnostic system. These days the microwave imaging system (MIS) has become one of the most promising techniques in biomedical applications for scanning human heads.…”

Section: Introductionmentioning

confidence: 99%

A double hollow rectangular‐shaped patch and with the slotted ground plane monopole wideband antenna for microwave head imaging applications

Samsuzzaman

Fakeeh

Talukder

et al. 2021

Int J Communication

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This paper introduces a lightweight wideband planar antenna with an antenna array configuration for microwave head imaging. The designed antenna is composed of a double hollow rectangular-shaped patch and with the slotted ground. Its measurements are small: 0.28λ Â 0.24λ Â 0.006λ, where λ is the lowest operating frequency's wavelength. The design process has been completed using CST and then fine-tune the parameters of the architecture structure to accomplish the ideal bandwidth. The antenna is manufactured and measured in order to test antenna properties. The prototype was being used for brain screening than with the Hugo-head model. With adequate impedance matching, the antenna meets an operational bandwidth of 1.82 GHz (1.22-3.04 GHz) with an overall peak gain of 5 dBi with a stable radiation property.Fidelity factors both for face-to-face and side by side alignment are 92.7% and 83.75%, respectively, indicating that the antenna had a little signal interruption. To determine the backscattered signals of the antenna with Hugo-head phantom, a nine-antenna array-based setup is assumed, with one antenna serving as a transmitter and the remaining eight receiving the dispersed signals.

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“…By using UWB across microwave frequencies, it is possible to produce images with enough resolution to show inclusions. The same principle has been used to determine the contrast between blood and brain matter to identify stroke in head-mimicking phantoms [8]. This study uses a technique explained in [9] which uses Huygens' Principle (HP) to forward propagate the waves [10].…”

Section: Theoretical Frameworkmentioning

confidence: 99%

UWB Microwave Imaging for Inclusions Detection: Methodology for Comparing Artefact Removal Algorithms

Puttock

Sohani

Khalesi

et al. 2020

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

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Microwave Imaging for Stroke Detection: Validation on Head-mimicking Phantom

Cited by 20 publications

References 13 publications

Developing Artefact Removal Algorithms to Process Data from a Microwave Imaging Device for Haemorrhagic Stroke Detection

Developing Artefact Removal Algorithms to Process Data from a Microwave Imaging Device for Haemorrhagic Stroke Detection

A double hollow rectangular‐shaped patch and with the slotted ground plane monopole wideband antenna for microwave head imaging applications

UWB Microwave Imaging for Inclusions Detection: Methodology for Comparing Artefact Removal Algorithms

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