针对脑部电阻抗成像的四种正则参数选取方法的比较研究  

Research on comparison of four types of regularization parameter choosing methods for brain electrical impedance tomography

作　　者：李彦东[1] 杨滨[1] 徐灿华[1] 代萌[1] 付峰[1] 董秀珍[1] 

机构地区：[1]第四军医大学生物医学工程学院医学电子工程教研室,陕西西安710032

出　　处：《中国医学装备》2013年第11期4-7,共4页China Medical Equipment

基　　金：国家科技支撑计划(2011BAI08B13)"早期脑卒中图像检测与监测系统";国家科技支撑计划(2012BAI080201)"伤员后送中图像监护设备";军队十二五重点项目(AWSI1C010)"便携式头颅出血快速监测仪"

摘　　要：目的:寻找一种适用于脑部电阻抗成像(EIT)的正则化参数选取方法。方法:将L型曲线法、广义交叉校验法、固定噪声系数法和偏差原理法4种正则化参数选取算法应用于包含高阻抗颅骨的真实颅脑模型中,然后通过模糊半径和重建位置误差2个指标比较施加50次不同高斯白噪声的重建效果。结果:在4种算法中偏差原理法最客观、最稳定以及最接近真实解。结论:可采用偏差原理法作为脑部EIT的正则参数选取方法。Objective：To select proper optimal methods of regularization parameter for brain electrical impedance tomography.Methods：Four types of regularization parameter choosing methods：L-curve,generalized cross-validation,fixed noise figure method,discrepancy principle,were used in 2-D brain model with high impedance skull,and the performance of the 4 methods were compared by blur radius and position error with statistics of applying 50 different Gauss white noise to measurement voltage.Results：Discrepancy principle proved to be most objective,most robust and most accurate among the four methods.Conclusion：Discrepancy principle is recommended to be used in the reconstruction process to optimize regularization parameter for brain electrical impedance tomography.

关 键 词：电阻抗成像 正则化参数 偏差原理 脑部 

分 类 号：R318.06[医药卫生—生物医学工程]