中国医疗设备2016，Vol.31Issue(12)：17-22,30,7.DOI:10.3969/j.issn.1674-1633.2016.12.004
基于小鼠大脑MRM图像灰度分布的个体结构网络构建的研究
Study on the Construction of Individual Structure Network Based on Gray Level Distribution of Mouse Brain MRM Image
摘要
Abstract
The Structure Magnetic Resource Imaging (sMRI) network analysis, one of the most popular techniques for neuroimaging analysis, which integrates the techniques of the sMRI, imaging processing, complex networks and graph theory analysis et al, gives us a good understanding of the brain structural organization and its relationship with diseases. Nowadays, the network analysis for human brain based on sMRI has attracted researchers’ attention, while the study for mouse brain magnetic resource microscopy is relatively rare. In this paper, the individual mouse structural networks were constructed based on Kullback-Leibler divergence of regional intensity distribution and a further analysis of network topology properties was made. This method can be used to study the age and disease related brain network changes in mouse brain.关键词
小鼠大脑/个体脑网络/KL散度Key words
mouse brain/individual brain network/Kullback-Leibler divergence分类
医药卫生引用本文复制引用
付振荣,林岚,张柏雯,吴水才..基于小鼠大脑MRM图像灰度分布的个体结构网络构建的研究[J].中国医疗设备,2016,31(12):17-22,30,7.基金项目
北京市自然科学基金资助项目（7143171）；国家科技支撑计划课题（2015BAI02B03）。 （）
