Van Hecke Wim, Sijbers Jan, D'Agostino Emiliano, Maes Frederik, De Backer Steve, Vandervliet Evert, Parizel Paul M, Leemans Alexander
Visionlab (Department of Physics), University of Antwerp, Antwerp, Belgium.
Neuroimage. 2008 Oct 15;43(1):69-80. doi: 10.1016/j.neuroimage.2008.07.006. Epub 2008 Jul 18.
Voxel based morphometry (VBM) has been increasingly applied to detect diffusion tensor (DT) image abnormalities in patients for different pathologies. An important requisite for a robust VBM analysis is the availability of a high-dimensional non-rigid coregistration technique that is able to align both the spatial and the orientational DT information. Consequently, there is a need for an inter-subject DTI atlas as a group specific reference frame that also contains this orientational DT information. In this work, a population based DTI atlas has been developed that incorporates such orientational DT information with high accuracy and precision. The proposed methodology for constructing such an atlas is compared with a subject based DTI atlas, in which a single subject is selected as the reference image. Our results demonstrate that the population based atlas framework is more accurate with respect to the underlying diffusion information.
基于体素的形态学测量(VBM)已越来越多地应用于检测不同病理患者的扩散张量(DT)图像异常。稳健的VBM分析的一个重要前提是要有一种高维非刚性配准技术,该技术能够对齐空间和方向DT信息。因此,需要一个受试者间DTI图谱作为特定群体的参考框架,该框架也包含这种方向DT信息。在这项工作中,开发了一种基于人群的DTI图谱,该图谱以高精度和高精确度纳入了这种方向DT信息。将构建这种图谱的提议方法与基于单个受试者的DTI图谱进行了比较,在基于单个受试者的DTI图谱中,选择一个单一受试者作为参考图像。我们的结果表明,基于人群的图谱框架在基础扩散信息方面更准确。