正则化广义逆ERT图像重建算法的研究

Image reconstruction in electrical resistance tomography based on general inverse and regularization

提出一种正则化广义逆 ERT图像重建算法 ,利用 ERT仿真软件得到的数据进行图像重建。与常用的 ERT图像重建算法进行比较 ,重建出的图像经过统一的门限滤波后 ,反投影算法、灵敏度系数算法和正则化广义逆 ERT图像重建算法重建图像的 CSIE平均值分别为 12 % ,9%和 6 %。研究表明 ,正则化广义逆 ERT图像重建算法重建速度快 ,能显著提高重建图像的质量 。

A new ERT reconstruction algorithm based on regularized general inverse method is presented. Images are reconstructed using data got from ERT simulation software. They are compared with other two algorithms. After filtering the images by identical bound for the same medium distribution, the average values of cross session image error (CSIE) are 12%, 9% and 6% reconstructed by linear back project algorithm, sensitivity coefficient algorithm and regularized general inverse algorithm respectively. The result shows that the image quality reconstructed by regularized general inverse algorithm is improved in evidence than that of others.