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EBG Based Microstrip Patch Antenna for Brain Tumor Detection via Scattering Parameters in Microwave Imaging System.
- Source :
-
International journal of biomedical imaging [Int J Biomed Imaging] 2018 Feb 12; Vol. 2018, pp. 8241438. Date of Electronic Publication: 2018 Feb 12 (Print Publication: 2018). - Publication Year :
- 2018
-
Abstract
- A microwave brain imaging system model is envisaged to detect and visualize tumor inside the human brain. A compact and efficient microstrip patch antenna is used in the imaging technique to transmit equivalent signal and receive backscattering signal from the stratified human head model. Electromagnetic band gap (EBG) structure is incorporated on the antenna ground plane to enhance the performance. Rectangular and circular EBG structures are proposed to investigate the antenna performance. Incorporation of circular EBG on the antenna ground plane provides an improvement of 22.77% in return loss, 5.84% in impedance bandwidth, and 16.53% in antenna gain with respect to the patch antenna with rectangular EBG. The simulation results obtained from CST are compared to those obtained from HFSS to validate the design. Specific absorption rate (SAR) of the modeled head tissue for the proposed antenna is determined. Different SAR values are compared with the established standard SAR limit to provide a safety regulation of the imaging system. A monostatic radar-based confocal microwave imaging algorithm is applied to generate the image of tumor inside a six-layer human head phantom model. S -parameter signals obtained from circular EBG loaded patch antenna in different scanning modes are utilized in the imaging algorithm to effectively produce a high-resolution image which reliably indicates the presence of tumor inside human brain.
Details
- Language :
- English
- ISSN :
- 1687-4188
- Volume :
- 2018
- Database :
- MEDLINE
- Journal :
- International journal of biomedical imaging
- Publication Type :
- Academic Journal
- Accession number :
- 29623087
- Full Text :
- https://doi.org/10.1155/2018/8241438