Microwave Imaging System for Breast Cancer Detection Using Merit Toolbox

Sherif Hekal, Fady E. Asaad, H. M. Mansour, Gehan S. Shehata
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Abstract

As breast cancer spreads in sync with the limitations of contemporary imaging techniques concerned with detecting tumors in earlier stages, the microwave imaging technique has been considered a promising technique in the last few years. It has attracted the attention of recent research, due to its impressive potential and the improvement occurring in the detection process. The fundamental idea behind microwave imaging is to use microwave pulses radiated from the antenna to penetrate human tissues, and then the reflected waves from the scanned object are captured and processed using a MATLAB algorithm (MERIT toolbox) to reconstruct the image. An array of eight identical Antipodal Vivaldi Antenna is used to transmit the microwave pulses and receive the reflected signals. CST Microwave Studio is utilized to simulate the proposed antenna and the breast phantom. The reconstructed image has shown that the proposed system can detect cancer cells in their earlier stages, which can help in early disease treatment.
基于优点工具箱的乳腺癌微波成像检测系统
由于乳腺癌的扩散与当代成像技术在早期阶段检测肿瘤的局限性同步,微波成像技术在过去几年中被认为是一种很有前途的技术。由于其令人印象深刻的潜力和在检测过程中发生的改进,它引起了最近研究的注意。微波成像背后的基本思想是利用天线辐射的微波脉冲穿透人体组织,然后利用MATLAB算法(MERIT工具箱)捕获和处理来自被扫描物体的反射波来重建图像。用8个相同的对映维瓦尔第天线阵列发射微波脉冲并接收反射信号。利用CST微波工作室对所提出的天线和乳房模体进行仿真。重建的图像表明,该系统可以在早期阶段检测到癌细胞,这有助于早期疾病的治疗。
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