本文介绍的是一种以共焦微波成像系统用于探测乳腺癌并使其图像生动再现的运算法则。为了测试这一方法的功效，我们在FDTD的模型之上发展出一个乳腺癌的三维空间生物超宽带微波成像。这一生物成像算法用于FDTD对于反馈信号的估算，得到微波成像从而明确地识别出癌变是否存在及其所在位置。

首先，由一根天线向乳房模型发射超宽带微波信号，这些探测信号进入乳房组织之后，由于乳腺肿瘤组织的电磁特性与正常乳房组织的电磁特性具有明显的差异，微波被目标肿瘤散射，散射信号将由接收天线检测。得出25组数据之后，分别根据时延计算公式推算出其起始位置的波形，并将这些波形进行叠加，最后在计算出每个网格点的能量数值之后，将之按比例转化为像素灰度值，在三维空间逐个绘出。

最终的成像结果表明，用这一微波成像算法来检测早期乳腺癌是否存在及其所在位置是可行的。

 

 

关键词——超宽带 FDTD 乳腺癌 微波成像

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

We present a computationally efficient and robust image reconstruction algorithm for breast cancer detection using an ultra wideband confocal microwave imaging system. To test the efficacy of this approach, we have developed a three-dimensional (3-D) anatomically realistic UWB-derived FDTD model of the cancerous breast. The image reconstruction algorithm is applied to FDTD-computed backscatter signals, resulting in a microwave image that clearly identifies the presence and location of the malignant lesion.

    At first，a antenna launch UWB microwave signals，after these detective signals going into the breast parts，as the electrical peculiarity of the breast cancer parts are different from the normal breast parts，the microwaves are reflected by target cancer，and the reflected signals are received by antenna detection. After getting 25 sets of data，we figure up the corrugations on the starting position according to the delay formula，and then pile up these corrugations，at last ,after  figuring up the capacity value of each  lattice point，we change them into the pixel gray value，and  portray them in the 3-dimensional space one by one.

The result of last image indicates using the microwave image-forming algorithm to detect whether the early breast cancer is exists and its position is possible.