The Icelandic Heart Association, Kopavogur, Iceland; Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
The Icelandic Heart Association, Kopavogur, Iceland.
Med Image Anal. 2017 Jul;39:133-144. doi: 10.1016/j.media.2017.04.009. Epub 2017 May 6.
Quantitative analyses of brain structures from Magnetic Resonance (MR) image data are often performed using automatic segmentation algorithms. Many of these algorithms rely on templates and atlases in a common coordinate space. Most freely available brain atlases are generated from relatively young individuals and not always derived from well-defined cohort studies. In this paper, we introduce a publicly available multi-spectral template with corresponding tissue probability atlases and regional atlases, optimised to use in studies of ageing cohorts (mean age 75 ± 5 years). Furthermore, we provide validation data from a regional segmentation pipeline to assure the integrity of the dataset.
从磁共振(MR)图像数据中对脑结构进行定量分析通常使用自动分割算法来完成。这些算法中的许多都依赖于公共坐标空间中的模板和图谱。大多数免费提供的脑图谱都是从相对年轻的个体中生成的,并且并不总是源自明确定义的队列研究。在本文中,我们引入了一个公共的多光谱模板,以及相应的组织概率图谱和区域图谱,该模板经过优化,可用于老龄化队列的研究(平均年龄 75 ± 5 岁)。此外,我们还提供了来自区域分割管道的验证数据,以确保数据集的完整性。