Microwave system for head imaging

Mohammed, Beada’a J., Abbosh, Amin M., Mustafa, Samah and Ireland, David (2014) Microwave system for head imaging. IEEE Transactions on Instrumentation and Measurement, 63 1: 117-123. doi:10.1109/TIM.2013.2277562

Author Mohammed, Beada’a J.
Abbosh, Amin M.
Mustafa, Samah
Ireland, David
Title Microwave system for head imaging
Journal name IEEE Transactions on Instrumentation and Measurement   Check publisher's open access policy
ISSN 0018-9456
Publication date 2014-01-01
Year available 2013
Sub-type Article (original research)
DOI 10.1109/TIM.2013.2277562
Open Access Status Not yet assessed
Volume 63
Issue 1
Start page 117
End page 123
Total pages 7
Place of publication Piscataway, NJ, United States
Publisher I E E E
Language eng
Subject 2208 Electrical and Electronic Engineering
3105 Instrumentation
Abstract A wideband microwave system for head imaging is presented. The system includes an array of 16 corrugated tapered slot antennas that are installed on an adjustable platform. A switching device is used to enable the antennas to sequentially send a wideband 1-4 GHz microwave signal and capture the backscattered signals. Those signals are recorded using suitably designed virtual instrument software architecture. To test the capability of the system to detect brain injuries, a low-cost mixture of materials that emulate the frequency-dispersive electrical properties of the major brain tissues across the frequency band 1-4 GHz are used to construct a realistic-shape head phantom. A target that emulates a realistic hemorrhage stroke is fabricated and inserted in two different locations inside the fabricated head phantom. A preprocessing algorithm that utilizes the symmetry of the two halves of human head is used to extract the target response from the background reflections. A post-processing confocal algorithm is used to get an image of the phantom and to accurately detect the presence and location of the stroke.
Keyword Brain imaging
Microwave imaging
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 90 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 109 times in Scopus Article | Citations
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