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: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2020
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| 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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| Summary: | 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. |
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