Fast frequency-based multistatic microwave imaging algorithm with application to brain injury detection

Zamani, Ali, Abbosh, Amin M. and Mobashsher, Ahmed Toaha (2016) Fast frequency-based multistatic microwave imaging algorithm with application to brain injury detection. IEEE Transactions on Microwave Theory and Techniques, 64 2: 653-662. doi:10.1109/TMTT.2015.2513398


Author Zamani, Ali
Abbosh, Amin M.
Mobashsher, Ahmed Toaha
Title Fast frequency-based multistatic microwave imaging algorithm with application to brain injury detection
Journal name IEEE Transactions on Microwave Theory and Techniques   Check publisher's open access policy
ISSN 0018-9480
1557-9670
Publication date 2016-02-03
Year available 2016
Sub-type Article (original research)
DOI 10.1109/TMTT.2015.2513398
Open Access Status Not Open Access
Volume 64
Issue 2
Start page 653
End page 662
Total pages 10
Place of publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Collection year 2017
Language eng
Abstract A multistatic microwave imaging technique is presented for fast diagnosis of medical emergencies pertaining to brain injuries. The frequency-based imaging method utilizes Bessel functions to estimate the scattered power intensity inside the imaged region from measured multistatic scattered signals outside the imaged region in a quasi-real-time manner. A theory is used to prove that the relation between the scattered fields outside the imaged object (the head) and the internal scattering profile follows the first order of first type Bessel function. To reconstruct the internal scattered power intensity accurately, the average-trace subtraction method is used to remove the skin reflections and clutters. The presented algorithm is verified using realistic numerical simulations and experimental measurements, which are performed using a radar-based head imaging system that includes an antenna array containing eight elements, microwave transceiver, and switching network. To emulate different brain injuries, realistic head phantoms are utilized. The obtained results using frequency steps that meet Nyquist criterion confirm the reliability of the proposed method in the successful detection of different sizes and locations of injuries inside the head phantom in a fast and consistent way. In comparison with existing multistatic time-domain methods, the presented approach is faster and more accurate.
Keyword Head imaging system
Microwave imaging
Multistatic radar
Brain injury detection
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Information Technology and Electrical Engineering Publications
 
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