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

作　　者：付振荣[1] 林岚[1] 张柏雯 吴水才[1] FU Zhen-rong;LIN Lan;ZHANG Bai-wen;WU Shui-cai(College of Life Science and Bioengineering,Beijing University of Technology,Beijing 100124, China)

机构地区：[1]北京工业大学生命科学与生物工程学院,北京100124

出　　处：《中国医疗设备》2016年第12期17-22,30,共7页China Medical Devices

基　　金：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)

摘　　要：结构磁共振成像脑网络分析技术结合了s MRI成像、医学图像处理、复杂网络及图论分析等技术方法,通过对大脑不同感兴趣区之间的特征关系进行分析,能够更好地分析脑组织结构之间的关系及与疾病的关联性等。目前,基于人脑s MRI的大脑灰质结构网络已成为脑网络研究的一个热点,但是基于小鼠MRM的大脑灰质网络分析还相对较少。本文首先通过构建基于KL散度的小鼠MRM个体灰质脑网络,并在此基础上进行网络拓扑属性的分析,该方法可以应用于脑老化和因疾病带来的小鼠脑网络变化的研究。The Structure Magnetic Resource Imaging (sMRI) network analysis, one of the most populartechniques 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 structuralorganization and its relationship with diseases. Nowadays, the network analysis for human brain based onsMRI has attracted researchers’ attention, while the study for mouse brain magnetic resource microscopyis relatively rare. In this paper, the individual mouse structural networks were constructed based onKullback-Leibler divergence of regional intensity distribution and a further analysis of network topologyproperties was made. This method can be used to study the age and disease related brain network changesin mouse brain.

关 键 词：小鼠大脑 个体脑网络 KL散度 

分 类 号：R445.2[医药卫生—影像医学与核医学]