两种VBM算法对阿尔茨海默病磁共振图像诊断价值的比较  

Comparison of diagnostic value of two VBM arithmetics for MRI of Alzheimer's disease

作　　者：周珂[1] 蔡洁[1] 熊刚强[1] 

机构地区：[1]广东医学院计算机科学教研室,广东湛江524023

出　　处：《广东医学院学报》2013年第5期496-500,共5页Journal of Guangdong Medical College

基　　金：广东省自然科学基金(No.S2011040002981);湛江市科技攻关项目(No.2013B01159)

摘　　要：目的比较两种VBM算法对阿尔茨海默病(AD)MR图像分析效果。方法利用优化VBM算法和DARTEL算法对14例AD患者和23名健康对照者的MR图像进行分析,并对其全脑灰质进行基于体素的统计学比较。结果两种方法分析结果显示在海马、杏仁核等区域的灰质萎缩程度基本一致,但优化VBM算法有个别区域的簇比用DARTEL算法的要小,有部分区域则未见报告。结论在MR图像分析上,DARTEL算法比优化VBM算法更有利于阿尔茨海默病的诊断。Objective To compare two VBM arithmetics based on MR/ofAlzheimer＇s disease （AD）. Methods MRI of 14 AD patients and 23 healthy controls was analyzed by the optimized VBM and DARTEL arithmetics, and the gray matter voxel volumes of the whole brain were calculated. Results Both methods were similar depiction in the grey matter atrophy of the hippocampus, amygdala and so on. However, the clusters of some anatomic regions were smaller or absent using the optimized VBM compared with the DARTEL. Conclusion DARTEL is superior to the optimized VBM for MRI diagnosis of AD.

关 键 词：DARTEL 阿尔茨海默病 磁共振成像 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]