%0 Journal Article
%T Neuromagnetic Source Image Reconstruction Based on Markov Random Field and Bayesian Theory<br>基于Markov随机场和Bayesian理论的脑内磁源重建
%A HU Jing HU Jie YE Sheng
%A <br>胡净
%A 胡洁
%A 叶盛
%J 计算机科学
%D 2003
%I 
%X MEG source image reconstruction, an important and difficult problem in image processing applications, is formulated as ill-posed inverse problem, so regularization is necessary. Here, we adopt stochastic regularization, i. e. , based on Markov random field and Bayesian theory. Additionally, the concept of line process is introduced. The experiments show the effectiveness of this method.
%K Stochastic regularization
%K Markov
%K Bayesian
%K Reconstruction
%K Ill-posed<br>脑磁源成像
%K 脑磁图
%K MEG
%K Bayesian理论
%K Markov随机场
%K 图像重构
%K 计算机视觉
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=96EBA74C29AFF7F6&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=9CF7A0430CBB2DFD&sid=80A07035DF96B0C4&eid=46CB27789995047D&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=13