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.
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.
FU Zhen-rong, LIN Lan,
ZHANG Bai-wen, WU Shui-cai. Study on the Construction of Individual Structure Network Based on Gray
Level Distribution of Mouse Brain MRM Image. China Medical Devices, 2016, 31(12): 17-22.