IEEE Trans Biomed Eng. 2018 Nov;65(11):2542-2551. doi: 10.1109/TBME.2018.2807799. Epub 2018 Feb 19.
In this paper, a working ultrawideband (UWB) microwave imaging (MI) system using basic techniques is proposed to detect and localize a tumor model. The system harnesses the time reversal-decomposition of time reversal operator (DORT) signal processing method. We suggest a modified background Green's function and suitable spiral antennas for time reversal imaging of a breast cancer tumor. In this method, scatterings from a breast phantom are measured. Then, reflected signals are processed using the decomposition of time reversal (TR), known under French acronym DORT, algorithm. In a conventional TR imaging method, free-space Green's function is used for detection. However, in the present method, we employ cylindrical Green's functions of a two-layer medium. This makes a better model of the background medium for TR-DORT imaging. Also, the performance of TR-DORT detector against signal to clutter ratio, and its ability to detect and localize different shapes, sizes, and permittivity values of breast tumor are discussed. Furthermore, a fatty tissue phantom model is used to verify the results experimentally. The MI system is tested to localize a tumor within the breast Debye phantom at the frequency range of 3.1-10.6 GHz. The experimental results show the validity of our proposed system.
本文提出了一种利用基本技术的工作超宽带（UWB）微波成像（MI）系统，以检测和定位肿瘤模型。该系统利用时间反转分解的时间反转算子（DORT）信号处理方法。我们提出了一种改进的背景格林函数和适合螺旋天线的时间反转成像乳腺癌肿瘤。在该方法中，测量了乳腺体模的散射。然后，使用分解时间反转（TR）的反射信号处理算法，该算法简称 DORT。在传统的 TR 成像方法中，自由空间格林函数用于检测。然而，在本方法中，我们采用了两层介质的圆柱格林函数。这使得 TR-DORT 成像的背景介质模型更好。此外，还讨论了 TR-DORT 探测器对信噪比的性能，以及它检测和定位不同形状、大小和介电常数值的乳腺肿瘤的能力。此外，还使用脂肪组织体模进行了实验验证。MI 系统在 3.1-10.6GHz 的频率范围内测试了对乳腺 Debye 体模内肿瘤的定位。实验结果表明了我们提出的系统的有效性。
