电阻抗断层成像现已被广泛应用于肺功能成像、乳腺癌早期检测以及颅脑功能成像等医学领域,在成像过程中,测量对象边界上的电极产生位置变动,将会引起电阻抗成像算法中模型参数误差,从而导致重构图像产生大量伪影.针对这一问题,本文首先综述了改善此种严重噪声干扰的几种算法,并对这些算法的物理基础进行了简单的介绍,然后,总结现行几种抗电极位置变动干扰的算法原理,对其特点进行总结和评述,并在文章的最后,对几种算法的不足做出分析,对其未来的研究与应用进行了展望.%Electrical impedance tomography imaging has been widely applied in medical field, such as lung function, early detection of breast cance, brain function imaging and so on. In the process of imaging, the variation of the electrode on the boundary of the measuring object will cause the error of model parameter in the electrical impedance imaging algorithm, resulting in a large number of artifacts in the reconstructed image. To solve this problem, firstly, this paper summarized several algorithms to improve the noise interference, and gave a brief introduction to the physical basis of these algorithms. Then, the principle and characteristics of the current several anti-electrode position change interference were summarized. At the end of the paper, the algorithms were analyzed and the future research and application of those algorithms were prospected.
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