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A numerical study of microwave detection of a malignant tissue.

机译:微波检测恶性组织的数值研究。

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The physical basis for tumor detection with microwave imaging is the contrast in the dielectric properties of background and malignant tissues. In this research a numerical study using the Finite-Difference Time-Domain method has been carried out to analyze the use of microwave for lung cancer detection.; A computational model of a human torso slice was generated, and simulations were conducted using several frequencies for several sizes and locations of a lung cancerous tissue.; The tests were conducted by simulating a plane wave impinging on the torso slice, and the analysis of the scattered field at different frequencies showed that 3 GHz appears to be the optimum frequency for lung cancer detection.; A time series analysis is also presented as an approach to find the optimum time, during the incidence of a plane wave, at which the presence of the tumor is more discernible.
机译:用微波成像检测肿瘤的物理基础是背景和恶性组织介电特性的对比。在这项研究中,使用有限差分时域方法进行了数值研究,以分析微波在肺癌检测中的应用。生成人体躯干切片的计算模型,并使用几种频率对肺癌组织的几种尺寸和位置进行仿真。测试是通过模拟撞击在躯干切片上的平面波进行的,对不同频率的散射场的分析表明3 GHz似乎是检测肺癌的最佳频率。还提出了时间序列分析,作为在平面波发生期间找到最佳时间的一种方法,在该时间更可辨别肿瘤的存在。

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