基于稀疏正则化的内外置电极电容层析成像

摘要

Asparse regularization algorithm based on a soft-thresholding functionwas employed in the image reconstruction for IEE ECT and compared with Landweber iterative algorithm quantitatively. Both numerical simulation and experimental study show that the sparse regularization algorithm can significantly reduce the number of iteration and improve the quality of the reconstructed images for IEE ECT.%利用一种基于软阈值的稀疏正则化图像重构算法，对IEE ECT内部的介质分布进行重构，并与Landweber迭代算法进行对比。仿真和实验结果表明：对于内外置电极的ECT，基于软阈值的稀疏正则化重构算法可以明显减少迭代步数，提高重构图像的质量。