Quantitative imaging of numerically realistic human head model using microwave tomography
Quantitative imaging of numerically realistic human head model using microwave tomography
复制标题
DOI：
10.1049/el.2013.4078
复制
发表时间：
2014-02-13
影响因子：
1.1
通讯作者：
Zwick, T.
中科院分区：
文献类型：
--
作者：
Jalilvand, M.;Wu, Chuanren;Zwick, T.
利用一种非线性迭代成像算法，将微波断层扫描(MWT)用于出血性卒中的检测。利用时域有限差分数值求解器模拟了一个具有解剖真实感的二维头部模型。通过使用基于高斯-牛顿方法的迭代优化算法，通过盲重建过程(即假设没有关于模型形状或介电性质的优先信息)，成功地重建了具有人工嵌入的以血液为模型的笔划区域的头部模型。观察到，从类似于背景材料的均匀猜测开始，在第一次迭代之后，层的形状被清楚地区分开来，并且介电属性的值仅经过10次迭代就收敛到实际值。
Microwave tomography (MWT) is exploited for the detection of haemorrhagic stroke by using a nonlinear iterative imaging algorithm. An anatomically realistic two‐dimensional (2D) head model is simulated using a finite difference time‐domain numerical solver. By using an iterative optimisation algorithm based on the Gauss–Newton approach, the head model with an artificially embedded stroke region modelled as blood is successfully reconstructed through a blind reconstruction procedure (i.e. noa prioriinformation about the shape or the dielectric properties of the model is assumed). It is observed that beginning from a homogeneous guess similar to the background material, right after the first iteration the shapes of the layers are clearly distinguished and the values of the dielectric properties converge to the actual values after only 10 iterations.