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中文摘要：
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．
英文摘要：
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.
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