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Research on the detection of the brain tumor with the ultrawide‐band microwave signal based on the high‐precision symplectic finite‐difference time‐domain electromagnetic algorithm and beam forming imaging algorithm
International Journal of RF and Microwave Computer-Aided Engineering ( IF 0.9 ) Pub Date : 2020-10-20 , DOI: 10.1002/mmce.22463
Ying‐Jie Gao 1, 2 , Jian‐Xiao Liu 3 , Quan‐Yi Ye 4, 5
Affiliation  

For the brain tumor, early diagnosis and treatment are particularly important. Also the tumor detection and imaging technology with high accuracy is required. Thus, the forward high‐precision symplectic finite‐difference time‐domain (SFDTD) algorithm is proposed to calculate the propagation characteristics of ultrawide‐band microwave signal in brain tissue with tumor. Using its advantages of high precision and numerical stability, the SFDTD algorithm can provide a theoretical reference for antenna design and optimization in real brain tumor imaging and detection system. Meanwhile, the inverse beam forming imaging algorithm is proposed to detect the location and size of the brain tumor. The imaging results are compared with preset tumor position and size to prove the correctness of the SFDTD algorithm and the BF algorithm. As a result, this article provides the theoretical reference for brain tumor detection equipment with parameter design and imaging algorithm.

中文翻译:

基于高精度辛有限差分时域电磁算法和波束形成成像算法的超宽带微波信号检测脑肿瘤的研究

对于脑肿瘤,早期诊断和治疗尤为重要。另外,需要高精度的肿瘤检测和成像技术。因此,提出了一种正向高精度辛差分时域(SFDTD)算法,以计算超宽带微波信号在患有肿瘤的脑组织中的传播特性。利用其高精度和数值稳定性的优点,SFDTD算法可以为实际脑肿瘤成像和检测系统中的天线设计和优化提供理论参考。同时,提出了逆波束形成成像算法来检测脑肿瘤的位置和大小。将成像结果与预设的肿瘤位置和大小进行比较,以证明SFDTD算法和BF算法的正确性。结果是,
更新日期:2020-11-12
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