医疗卫生装备2017，Vol.38Issue(6)：7-11,16,6.DOI:10.7687/j.issn1003-8868.2017.06.07
电阻抗成像算法中正则化矩阵构造研究
Research on regularization matrix construction in electrical impedance tomography
摘要
Abstract
Objective To improve the image quality of the electrical impedance tomography (EIT) by introducing the prior information into the regularization matrix.Methods The linear combination of the conductivity was established by background conductivity of dynamic variation,the covariance matrix was used here to remove the correlation between the background conductivity,and this prior information was introduced to construct the regularization matrix.Resnlts Compared with the traditional regularization matrix,the one involving in the prior information on the dynamic background gained more stable and better images.Conclusion Trials prove the efficacy of the regularization matrix on EIT imaging in 1 respiratory cycles (or heart beat),and following related researches may find theoretical references and support for feasibility.关键词
反演问题/电阻抗成像/正则化矩阵/先验信息Key words
inversion problem/electrical impedance tomography/regularization matrix/prior information分类
医药卫生引用本文复制引用
常甜甜,杨超,丛伟杰..电阻抗成像算法中正则化矩阵构造研究[J].医疗卫生装备,2017,38(6):7-11,16,6.基金项目
国家自然科学基金项目(61302050) （61302050）
陕西省教育厅自然科学专项(14JK1658) （14JK1658）
