论文标题
一个基于DODF系数的混合效应模型来构建纵向DW-MRI婴儿地图集的框架
A framework to construct a longitudinal DW-MRI infant atlas based on mixed effects modeling of dODF coefficients
论文作者
论文摘要
在大脑图像的分析中,建造地图集起着至关重要的作用。在早期生长,衰老或疾病轨迹至关重要的情况下,纵向地图集是必要的,因为参考文献最常由横截面数据产生。将通过从纵向主题特定图像数据中创建纵向大脑图书馆来提供新的机会,在这些图像数据中,对斜坡和截距中受试者的变异性的明确建模会导致对平均轨迹的更强大的估计,也导致置信界的估计。这项工作着重于一个框架,以从纵向高角度分辨率扩散图像(HARDI)构建连续的4D地图集,在该图像中,与派生标量扩散指数(例如FA)不同,保留了DODFS的统计数据。从DW图像获得的多量表图像用于几何比喻,并从纵向扩散方向分布函数(DODF)的线性混合效应建模导致连续DODF变化的估计。所提出的方法适用于3至36个月的健康发育中的婴儿的Hardi图像的纵向数据集。通过拟合计算的素质量获得了混合效应建模的验证。为了证明我们的方法的潜力,我们使用DODF和衍生的Dodf的广义分数各向异性(GFA)显示了纵向地图集的变化。我们还研究了call体的真实,身体和脾脏中的白质成熟模式。该框架可用于从Hardi数据中构建平均DODF地图集,并得出特定于主体和基于人群的纵向变化轨迹。
Building of atlases plays a crucial role in the analysis of brain images. In scenarios where early growth, aging or disease trajectories are of key importance, longitudinal atlases become necessary as references, most often created from cross-sectional data. New opportunities will be offered by creating longitudinal brain atlases from longitudinal subject-specific image data, where explicit modeling of subject's variability in slope and intercept leads to a more robust estimation of average trajectories but also to estimates of confidence bounds. This work focuses on a framework to build a continuous 4D atlas from longitudinal high angular resolution diffusion images (HARDI) where, unlike atlases of derived scalar diffusion indices such as FA, statistics on dODFs is preserved. Multi-scalar images obtained from DW images are used for geometric alignment, and linear mixed-effects modeling from longitudinal diffusion orientation distribution functions (dODF) leads to estimation of continuous dODF changes. The proposed method is applied to a longitudinal dataset of HARDI images from healthy developing infants in the age range of 3 to 36 months. Verification of mixed-effects modeling is obtained by voxel-wise goodness of fit calculations. To demonstrate the potential of our method, we display changes of longitudinal atlas using dODF and derived generalized fractional anisotropy (GFA) of dODF. We also investigate white matter maturation patterns in genu, body, and splenium of the corpus callosum. The framework can be used to build an average dODF atlas from HARDI data and to derive subject-specific and population-based longitudinal change trajectories.