基于扩散张量成像的婴幼儿大脑图像自动分割  

Automatic infant brain segmentation based on diffusion tensor imaging

作　　者：王林[1,2] 喻罡[1] 

机构地区：[1]中南大学基础医学院生物医学工程系,湖南长沙410083 [2]邵阳学院临床医学系,湖南邵阳422000

出　　处：《中国医学影像技术》2017年第8期1264-1268,共5页Chinese Journal of Medical Imaging Technology

基　　金：湖南省教育厅科研项目基金(14C1042)

摘　　要：目的探讨基于扩散张量成像(DTI)的婴幼儿大脑图像自动分割方法的可行性及价值。方法提出一种基于DTI图像的婴幼儿大脑的分割方法。该方法主要分为2个阶段:①利用水的分布,提取脑脊液(CSF);②利用水在神经元中的各向异性扩散,提取白质(WM),继以区分灰质(GM)成分。结果通过本研究设计的特征选取方法可筛选出有效的DTI特征组合。第1步以平均扩散率(MD)和第3个特征值(L3)为组合特征提取CSF,第2步以各向异性分数(FA)和L3为组合特征提取WM和GM,可获得最高的平均相似性。经2步分割可成功进行婴幼儿大脑图像分割并获得满意的分割效果。结论基于DTI的婴幼儿大脑图像自动分割方法合理、可行,具有较高的分割精确度。Objective To investigate the feasibility and value of automatic segmentation of infant brain images based on diffusion tensor image（DTI）.Methods A method of segmentation of infant brain based on DTI images was proposed.The method was mainly included two stages：①Extracting the cerebrospinal fluid（CSF）using the distribution of water;②Extracting the white matter（WM）adopting the anisotropic diffusion of water in neurons,followed by distinguishing the gray matter（GM）component.Results Through the feature selection method designed in this study,the effective DTI feature combination was selected.The first step was to extract CSF with mean diffusity（MD）and the third eigenvalue（L3）,and the second step was to extract WM and GM with fractional anisotropy（FA）and the L3.The highest average similarity was obtained by the two steps.The two-step segmentation could be successfully performed in infant brain image segmentation and satisfied with the split effect.Conclusion The automatic segmentation of infant brain based on DTI in this study is reasonable and feasible,and has high segmentation accuracy.

关 键 词：婴儿 儿童 磁共振成像 扩散张量成像 大脑分割 

分 类 号：R445.2[医药卫生—影像医学与核医学]