Neuromagnetic Source Image Reconstruction Based on Markov Random Field and Bayesian Theory
基于Markov随机场和Bayesian理论的脑内磁源重建

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.