Comparison of two nonlinear registration techniques to investigate brain atrophy patterns in normal aging
Comparison of two nonlinear registration techniques to investigate brain atrophy patterns in normal aging
复制标题
比较两种非线性配准技术研究正常衰老过程中脑萎缩模式
DOI：
10.1016/j.neurad.2013.01.004
复制
发表时间：
2013-12-01
影响因子：
3.5
通讯作者：
Li, Shuyu
中科院分区：
文献类型：
--
作者：
Pu, Fang;Xu, Liqiang;Li, Shuyu
背景和目的：自动解剖标记（AAL）提供了一种自动脑区域分割方法，可以客观测量局部脑体积。非线性配准在这种基于区域的自动体积测定中起着关键作用。本研究的目的是比较与年龄相关的脑区域体积的变化，使用两种非线性注册方法在统计参数mapping（SPM）。材料和方法：该研究包括176名右利手的健康参与者（年龄范围：18-94岁）。基于AAL图谱，自动提取每个受试者的总共90个脑区域，并应用两种非线性配准方法（SPM 5中的归一化和DARTEL插值）。进行三因素方差分析以估计脑区域、每种配准方法和每个半球对区域体积的影响。结果：两种非线性配准方法的脑体积差异有显著性（P< 0.001）（P = 0.011）。两个半球相应脑区的体积变化存在显著差异（P = 0.037），年龄相关的体积减少在各区域分布不均匀。最显着的体积减少被发现在双侧颞叶，中额区和扣带。两种登记技术和调整methods.Conclusion：推断年龄相关的体积萎缩模式的基础上的AAL图谱的排名不同的减少脑区域体积在很大程度上取决于登记方法的选择。(C)2013年Elsevier Masson SAS。All rights reserved.
Background and purpose: Automated anatomical labeling (AAL) provides an automatic brain region segmentation method to allow objective measurement of regional brain volume. Nonlinear registration plays a critical role in such automated region-based volumetry. The aim of this study was to compare age-related brain regional volume changes using two nonlinear registration methods in statistical parametric mapping (SPM).Material and methods: The study included 176 right-handed healthy participants (age range: 18-94 years). A total of 90 brain regions for each subject were automatically extracted, based on the AAL atlas, and two nonlinear registration methods (Normalization and DARTEL Toolbox in SPM5) were applied. Three-way ANOVA was performed to estimate the effects of brain region, each registration method and each hemisphere on regional volumes. Age-related brain-volume changes were also investigated by linear regression analysis for each nonlinear registration method.Results: Significant differences were found in volume among different brain regions (P< 0.001) with the two nonlinear registration methods (P = 0.011). Volumes of the corresponding brain region were significantly different (P = 0.037) between two hemispheres, and age-related volume reductions were unevenly distributed across regions. The most dramatic decreases in volume were found in the bilateral insula, middle frontal regions and cingulum. Rankings of the decreased brain regional volumes differed between the two registration techniques and adjustment methods.Conclusion: The inferred age-related volume atrophy patterns based on the AAL atlas were largely dependent on the choice of registration methodology. (C) 2013 Elsevier Masson SAS. All rights reserved.