基于改进天线阵列共焦成像算法的脑瘤检测应用  

Research on Brain Tumor Detection Based on Antenna Array Confocal Imaging Algorithm

作　　者：周楚霖 陈敬东 王新余 曾真 ZHOU Chulin;CHEN Jingdong;WANG Xinyu;ZENG Zhen(709th Research Institute of China State Shipbuilding Corporation Limited,Wuhan 430205)

机构地区：[1]中国船舶集团有限公司第七〇九研究所,武汉430205

出　　处：《计算机与数字工程》2021年第10期1978-1982,2016,共6页Computer & Digital Engineering

摘　　要：文章在电磁学理论的基础上,设计了用于脑部肿瘤检测的共焦成像算法。利用Matlab和XFDTD建立头部组织模型及辐射天线,在二维组织切面上根据收发天线连线上组织的种类和数量,计算特定频率下的散射参数。分别按照单发单收,单发多收的方式计算各个天线组,各个频率下组织材料的散射参数相移,并与由XFDTD计算出的实际散射参数的相移作对比,得到置信度矩阵。最后,完成矩阵归一化,可视化,在图中颜色差距明显,可以较明显地定位肿瘤的位置。利用癌变初期,正常组织和肿瘤组织明显的电磁参数上的差异进行肿瘤早期检测相对安全有效,为微波成像应用于复杂色散组织提供了新的思路和方法。Based on the theory of electromagnetics,this article designs a confocal imaging algorithm for brain tumor detection.The Matlab and XFDTD are used to establish the head tissue model and radiation antenna,and the scattering parameters are calculated at a specific frequency based on the type and quantity of the tissue on the line of the transmitting and receiving antenna on the two-dimensional tissue section.The phase shift of the scattering parameter of each antenna group and the tissue material at each frequency according to the single-shot and single-receive method are calculated,and the phase shift of the actual scattering parameter calculated by XFDTD to obtain the confidence matrix.Finally,the normalization and visualization of the matrix are completed.The color gap in the figure is obvious,which can clearly locate the position of the tumor.It is relatively safe and effective to use the obvious difference in electromagnetic parameters between normal tissue and tumor tissue to detect early tumors in the early stage of cancer.It provides new ideas and methods for the application of microwave imaging to complex dispersion tissues.

关 键 词：肿瘤检测 散射参数 FDTD 共焦成像 相移特性 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]