Experimental tissue mimicking human head phantom for estimation of stroke using IC-CF-DMAS algorithm in microwave based imaging system

Abstract This paper presents the preparation and measurement of tissue-mimicking head phantom and its validation with the iteratively corrected coherence factor delay-multiply-and-sum (IC-CF-DMAS) algorithm for brain stroke detection. The phantom elements are fabricated by using different chemical m...

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Autores principales:	Mohammad Shahidul Islam, Mohammad Tariqul Islam, Ali F. Almutairi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/429814870c214eab9f6c1326318a93c6
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spelling	oai:doaj.org-article:429814870c214eab9f6c1326318a93c62021-11-14T12:18:32ZExperimental tissue mimicking human head phantom for estimation of stroke using IC-CF-DMAS algorithm in microwave based imaging system10.1038/s41598-021-01486-x2045-2322https://doaj.org/article/429814870c214eab9f6c1326318a93c62021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01486-xhttps://doaj.org/toc/2045-2322Abstract This paper presents the preparation and measurement of tissue-mimicking head phantom and its validation with the iteratively corrected coherence factor delay-multiply-and-sum (IC-CF-DMAS) algorithm for brain stroke detection. The phantom elements are fabricated by using different chemical mixtures that imitate the electrical properties of real head tissues (CSF, dura, gray matter, white matter, and blood/stroke) over the frequency band of 1–4 GHz. The electrical properties are measured using the open-ended dielectric coaxial probe connected to a vector network analyzer. Individual phantom elements are placed step by step in a three-dimensional skull. The IC-CF-DMAS image reconstruction algorithm is later applied to the phantom to evaluate the effectiveness of detecting stroke. The phantom elements are preserved and measured multiple times in a week to validate the overall performance over time. The electrical properties of the developed phantom emulate the similar properties of real head tissue. Moreover, the system can also effectively detect the stroke from the developed phantom. The experimental results demonstrate that the developed tissue-mimicking head phantom is time-stable, and it shows a good agreement with the theoretical results in detecting and reconstructing the stroke images that could be used in investigating as a supplement to the real head tissue.Mohammad Shahidul IslamMohammad Tariqul IslamAli F. AlmutairiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mohammad Shahidul Islam Mohammad Tariqul Islam Ali F. Almutairi Experimental tissue mimicking human head phantom for estimation of stroke using IC-CF-DMAS algorithm in microwave based imaging system
description	Abstract This paper presents the preparation and measurement of tissue-mimicking head phantom and its validation with the iteratively corrected coherence factor delay-multiply-and-sum (IC-CF-DMAS) algorithm for brain stroke detection. The phantom elements are fabricated by using different chemical mixtures that imitate the electrical properties of real head tissues (CSF, dura, gray matter, white matter, and blood/stroke) over the frequency band of 1–4 GHz. The electrical properties are measured using the open-ended dielectric coaxial probe connected to a vector network analyzer. Individual phantom elements are placed step by step in a three-dimensional skull. The IC-CF-DMAS image reconstruction algorithm is later applied to the phantom to evaluate the effectiveness of detecting stroke. The phantom elements are preserved and measured multiple times in a week to validate the overall performance over time. The electrical properties of the developed phantom emulate the similar properties of real head tissue. Moreover, the system can also effectively detect the stroke from the developed phantom. The experimental results demonstrate that the developed tissue-mimicking head phantom is time-stable, and it shows a good agreement with the theoretical results in detecting and reconstructing the stroke images that could be used in investigating as a supplement to the real head tissue.
format	article
author	Mohammad Shahidul Islam Mohammad Tariqul Islam Ali F. Almutairi
author_facet	Mohammad Shahidul Islam Mohammad Tariqul Islam Ali F. Almutairi
author_sort	Mohammad Shahidul Islam
title	Experimental tissue mimicking human head phantom for estimation of stroke using IC-CF-DMAS algorithm in microwave based imaging system
title_short	Experimental tissue mimicking human head phantom for estimation of stroke using IC-CF-DMAS algorithm in microwave based imaging system
title_full	Experimental tissue mimicking human head phantom for estimation of stroke using IC-CF-DMAS algorithm in microwave based imaging system
title_fullStr	Experimental tissue mimicking human head phantom for estimation of stroke using IC-CF-DMAS algorithm in microwave based imaging system
title_full_unstemmed	Experimental tissue mimicking human head phantom for estimation of stroke using IC-CF-DMAS algorithm in microwave based imaging system
title_sort	experimental tissue mimicking human head phantom for estimation of stroke using ic-cf-dmas algorithm in microwave based imaging system
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/429814870c214eab9f6c1326318a93c6
work_keys_str_mv	AT mohammadshahidulislam experimentaltissuemimickinghumanheadphantomforestimationofstrokeusingiccfdmasalgorithminmicrowavebasedimagingsystem AT mohammadtariqulislam experimentaltissuemimickinghumanheadphantomforestimationofstrokeusingiccfdmasalgorithminmicrowavebasedimagingsystem AT alifalmutairi experimentaltissuemimickinghumanheadphantomforestimationofstrokeusingiccfdmasalgorithminmicrowavebasedimagingsystem
_version_	1718429283059236864

Experimental tissue mimicking human head phantom for estimation of stroke using IC-CF-DMAS algorithm in microwave based imaging system

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