基于三维模型的改进正则化ERT成像算法  

Improved Regularization Reconstruction Algorithm Based on 3D Model for ERT System

作　　者：李守晓[1] 王化祥[1] 范文茹[2] 张玲玲[3] 

机构地区：[1]天津大学电气与自动化工程学院,天津300072 [2]中国民航大学航空自动化学院,天津300300 [3]天津大学理学院,天津300072

出　　处：《天津大学学报》2012年第3期215-220,共6页Journal of Tianjin University(Science and Technology)

基　　金：国家自然科学基金重大国际合作资助项目(60820106002);国家自然科学基金资助项目(60532020;50937005);国家高技术研究发展计划(863计划)资助项目(2006BAI O3A00);天津市自然科学基金资助项目(11JCYBJC06900)

摘　　要：电阻层析成像(ERT)通过对被测场边界注入电流,测量被测场电压变化,重建物场内电导率.针对ERT成像分辨率低,提出一种基于三维模型的改进Tikhonov迭代电阻成像算法.针对Tikhonov正则化参数选择问题,提出基于同伦映射的方法,并利用非线性函数Sigmoid调节正则化参数,以获得的图像灰度值作为Tikhonov迭代法的初始值进行迭代,重建敏感场图像.仿真及实验结果表明,该方法有效地改进了ERT图像质量.Electrical resistance tomography （ERT） is a technique for reconstructing the conductivity distribution in- side an inhomogeneous distribution by injecting currents at the boundary of a subject and measuring the resulting changes in voltage. To improve the poor imaging quality for ERT, an improved regularization reconstruction algo- rithm （HTIK）based on 3D modelling was presented. In general, the regularization coefficient of Tikhonov iterative algorithm was difficult to choose, homotopic mapping is adopted. A quasi-Sigmoid method is used to adjust the regu- larization parameter. Thereafter sensitive field image can be reconstructed by deploying the resultant image vector as the initial value of Tikhonov iteration algorithm. Both simulation and experimental results demonstrate that the pro- posed method can improve imaging quality obviously.

关 键 词：电阻层析成像 图像重建 正则化 同伦映射 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]