本文提出了一种基于2D电阻抗成像的位置误差和相对数量指数的后处理方法,用于多种电导率分布的确定、组织成分的识别以及位置信息的确定。此外,还介绍了一种基于现有两种重建算法的混合正则化算法,并将三种重建算法重建的结果进行了比较。结果证明,这种后处理方法可以提高2D电阻抗成像的位置精度和空间分辨率,使得电阻抗成像适用于临床检查和过程监测。
This paper proposed a post-process method for 2D-EIT-based(Two Dimensional Electrical Impedance Tomography) PE(Position Error) and relative QI(Quantity Index), which was intended to identify the distribution of multiple electrical conductivity, organ compositions as well as position information. Additionally, an integrated TR(Tikhonov Regularization) based on two present construction algorithms was also introduced and compared. According to the results, this post-process method could improve the placement accuracy and spatial resolution of 2D EIT, which made EIT applicable for clinical examinations and process monitoring.