微波成像系统中基于EBG的微带贴片天线散射参数检测脑肿瘤。

IF 3.3 Q2 ENGINEERING, BIOMEDICAL
International Journal of Biomedical Imaging Pub Date : 2018-02-12 eCollection Date: 2018-01-01 DOI:10.1155/2018/8241438
Reefat Inum, Md Masud Rana, Kamrun Nahar Shushama, Md Anwarul Quader
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引用次数: 44

摘要

设想了一种微波脑成像系统模型,用于人脑内肿瘤的检测和可视化。成像技术采用紧凑高效的微带贴片天线,发射等效信号并接收分层人头模型的后向散射信号。为了提高天线的性能,在天线地平面上加入了电磁带隙结构。提出了矩形和圆形电子束结构来研究天线的性能。在天线地平面上加入圆形EBG,相对于采用矩形EBG的贴片天线,回波损耗提高22.77%,阻抗带宽提高5.84%,天线增益提高16.53%。将CST的仿真结果与HFSS的仿真结果进行了比较,验证了设计的正确性。确定了天线模型头部组织的比吸收率(SAR)。将不同的SAR值与建立的标准SAR限值进行比较,以提供成像系统的安全规范。采用基于单站雷达的共聚焦微波成像算法生成六层人体头部幻象模型内的肿瘤图像。成像算法利用圆形EBG加载贴片天线在不同扫描模式下获得的s参数信号,有效生成高分辨率图像,可靠地显示人脑内肿瘤的存在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

EBG Based Microstrip Patch Antenna for Brain Tumor Detection via Scattering Parameters in Microwave Imaging System.

EBG Based Microstrip Patch Antenna for Brain Tumor Detection via Scattering Parameters in Microwave Imaging System.

EBG Based Microstrip Patch Antenna for Brain Tumor Detection via Scattering Parameters in Microwave Imaging System.

EBG Based Microstrip Patch Antenna for Brain Tumor Detection via Scattering Parameters in Microwave Imaging System.

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.

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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
11
审稿时长
20 weeks
期刊介绍: The International Journal of Biomedical Imaging is managed by a board of editors comprising internationally renowned active researchers. The journal is freely accessible online and also offered for purchase in print format. It employs a web-based review system to ensure swift turnaround times while maintaining high standards. In addition to regular issues, special issues are organized by guest editors. The subject areas covered include (but are not limited to): Digital radiography and tomosynthesis X-ray computed tomography (CT) Magnetic resonance imaging (MRI) Single photon emission computed tomography (SPECT) Positron emission tomography (PET) Ultrasound imaging Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography Neutron imaging for biomedical applications Magnetic and optical spectroscopy, and optical biopsy Optical, electron, scanning tunneling/atomic force microscopy Small animal imaging Functional, cellular, and molecular imaging Imaging assays for screening and molecular analysis Microarray image analysis and bioinformatics Emerging biomedical imaging techniques Imaging modality fusion Biomedical imaging instrumentation Biomedical image processing, pattern recognition, and analysis Biomedical image visualization, compression, transmission, and storage Imaging and modeling related to systems biology and systems biomedicine Applied mathematics, applied physics, and chemistry related to biomedical imaging Grid-enabling technology for biomedical imaging and informatics
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