动态电阻抗图象重建的正则化方法  

Regularized Reconstruction in Dynamic Electrical Impedance Tomography

作　　者：侯卫东[1] 莫玉龙[1] 

机构地区：[1]上海大学通信工程系,上海200072

出　　处：《计算机工程》2001年第9期14-16,共3页Computer Engineering

基　　金：国家自然科学基金;上海市高校科技发展基金资助项目

摘　　要：电阻抗图象重建是一个严重病态的反问题，特别是当重建模型的有限单元数增大时，重建图象会变差，甚至发散。提出一种全新的基于空间滤波理论的正则化方法，它不依赖于阻抗分布的先验估计，因此它比最大后验（ＭＡＰ）正则化方法易于实现；而且计算机模拟实验结果表明，利用这种新的正则化方法重建的动态阻抗图象质量好于ｉｋｈｏｎｏｖ正则化方法。Image reconstruction in electrical impedance tomography (EIT) is a highly ill-posed inverse problem. Especially, the reconstructed images will become bad, even divergent, as the finite elements in the reconstructed model increase. We developed a new regularization method based on the spatial filtering theory, which is independent on the estimation of impedance distribution. So it can be implemented easier than the maximum a posteriori(MAP) method, and the computer simulation results demonstrate that the quality of the reconstructed dynamic impedance images with the new regularization method is better than with Tikhonov method.

关 键 词：正则化方法 电阻抗成象 图象重建 反问题 CT 医学 

分 类 号：R814.42[医药卫生—影像医学与核医学]