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Development of microwave brain stroke imaging system using multiple antipodal vivaldi antennas based on Raspberry Pi technology

This paper proposes a Microwave Imaging System (MIS) for brain stroke detection. In the MIS, the primary challenge is to improve in terms of cost, size, and stroke image quality. Thus, the main contribution of this work is the economy and the compact rotation platform integrated with an array of n...

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Main Authors: Azahari Salleh,, Yang, Ching Chiou, Touhidul Alam,, Mandeep Singh Jit Singh,, Md. Samsuzzaman,, Mohammad Tariqul Islam,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2020
Online Access:http://journalarticle.ukm.my/14841/1/06.pdf
http://journalarticle.ukm.my/14841/
http://www.ukm.my/jkukm/volume-321-2020/
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spelling my-ukm.journal.148412020-07-10T08:20:12Z http://journalarticle.ukm.my/14841/ Development of microwave brain stroke imaging system using multiple antipodal vivaldi antennas based on Raspberry Pi technology Azahari Salleh, Yang, Ching Chiou Touhidul Alam, Mandeep Singh Jit Singh, Md. Samsuzzaman, Mohammad Tariqul Islam, This paper proposes a Microwave Imaging System (MIS) for brain stroke detection. In the MIS, the primary challenge is to improve in terms of cost, size, and stroke image quality. Thus, the main contribution of this work is the economy and the compact rotation platform integrated with an array of nine antipodal Vivaldi antenna in circular arrangement and single computer board, Raspberry Pi Module (RPM) as microcontroller developed. The design and fabrication of wideband antenna based on Computer Simulation Technology (CST) software and Rogers RO4350B substrate, which operated from 2.06 GHz to 2.61 GHz. In the RPM, the Python programming language used for regulating the angle of rotation and antenna switching process. The process of receiving reflection signals from the head phantom for each antenna supervised by Single-Pole 8-Throw (SP8T) Radio Frequency (RF) switch. The fabricated head phantom based on the primary tissues of the brain, white matter using inexpensive materials, and located in the middle of the platform. Platform rotation is a combination of wood-based platform with the size 0.36m2 and material Perspex. Then, through an interfacing process between Python script and Vector Network Analyzer (VNA), the raw data in S-Parameters transferred to the MATLAB software for analysis. The fabricated antenna able to realize high directivity, 86.92% efficiency, and 2.45 dBi gain. Overall, the proposed system offers the cost-effective, compact, and able to collect the data effectively around the head phantom that consist of a target clot and without a target clot at 50 different positions. It successfully tracked the presence of stroke clots through color differences in color plots. Penerbit Universiti Kebangsaan Malaysia 2020-02 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/14841/1/06.pdf Azahari Salleh, and Yang, Ching Chiou and Touhidul Alam, and Mandeep Singh Jit Singh, and Md. Samsuzzaman, and Mohammad Tariqul Islam, (2020) Development of microwave brain stroke imaging system using multiple antipodal vivaldi antennas based on Raspberry Pi technology. Jurnal Kejuruteraan, 32 (1). pp. 39-49. ISSN 0128-0198 http://www.ukm.my/jkukm/volume-321-2020/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description This paper proposes a Microwave Imaging System (MIS) for brain stroke detection. In the MIS, the primary challenge is to improve in terms of cost, size, and stroke image quality. Thus, the main contribution of this work is the economy and the compact rotation platform integrated with an array of nine antipodal Vivaldi antenna in circular arrangement and single computer board, Raspberry Pi Module (RPM) as microcontroller developed. The design and fabrication of wideband antenna based on Computer Simulation Technology (CST) software and Rogers RO4350B substrate, which operated from 2.06 GHz to 2.61 GHz. In the RPM, the Python programming language used for regulating the angle of rotation and antenna switching process. The process of receiving reflection signals from the head phantom for each antenna supervised by Single-Pole 8-Throw (SP8T) Radio Frequency (RF) switch. The fabricated head phantom based on the primary tissues of the brain, white matter using inexpensive materials, and located in the middle of the platform. Platform rotation is a combination of wood-based platform with the size 0.36m2 and material Perspex. Then, through an interfacing process between Python script and Vector Network Analyzer (VNA), the raw data in S-Parameters transferred to the MATLAB software for analysis. The fabricated antenna able to realize high directivity, 86.92% efficiency, and 2.45 dBi gain. Overall, the proposed system offers the cost-effective, compact, and able to collect the data effectively around the head phantom that consist of a target clot and without a target clot at 50 different positions. It successfully tracked the presence of stroke clots through color differences in color plots.
format Article
author Azahari Salleh,
Yang, Ching Chiou
Touhidul Alam,
Mandeep Singh Jit Singh,
Md. Samsuzzaman,
Mohammad Tariqul Islam,
spellingShingle Azahari Salleh,
Yang, Ching Chiou
Touhidul Alam,
Mandeep Singh Jit Singh,
Md. Samsuzzaman,
Mohammad Tariqul Islam,
Development of microwave brain stroke imaging system using multiple antipodal vivaldi antennas based on Raspberry Pi technology
author_facet Azahari Salleh,
Yang, Ching Chiou
Touhidul Alam,
Mandeep Singh Jit Singh,
Md. Samsuzzaman,
Mohammad Tariqul Islam,
author_sort Azahari Salleh,
title Development of microwave brain stroke imaging system using multiple antipodal vivaldi antennas based on Raspberry Pi technology
title_short Development of microwave brain stroke imaging system using multiple antipodal vivaldi antennas based on Raspberry Pi technology
title_full Development of microwave brain stroke imaging system using multiple antipodal vivaldi antennas based on Raspberry Pi technology
title_fullStr Development of microwave brain stroke imaging system using multiple antipodal vivaldi antennas based on Raspberry Pi technology
title_full_unstemmed Development of microwave brain stroke imaging system using multiple antipodal vivaldi antennas based on Raspberry Pi technology
title_sort development of microwave brain stroke imaging system using multiple antipodal vivaldi antennas based on raspberry pi technology
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2020
url http://journalarticle.ukm.my/14841/1/06.pdf
http://journalarticle.ukm.my/14841/
http://www.ukm.my/jkukm/volume-321-2020/
_version_ 1672611744142327808
score 13.211869

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