Digital neuroanatomy, data visualisation, and modelling

在这个项目中，我们将建立一个标准化的管道，用于从个体大脑群体中创建基于表面的大脑图谱。该管道大致包括以下步骤：成像、分割、表面重建和平均。重点是大脑图谱的创建、管理和可视化方法。近年来开发的工具将得到推广，并特别适用于分层地图集。这还将包括功能数据集成的概念。此外，我们将利用基于微分几何的方法在神经解剖学形态学中建立形状对应，并以比当前方法更高的精度进行形状平均。此外，我们将开发整合部分数据集的方法，特别是在图谱中注册部分重建的神经堆区域。这些方法将与参与的研究小组和Z项目密切合作应用，以创建涵盖不同发展阶段和不同细节层次的地图集。

In this project we will establish a standardized pipeline for the creation of surfacebased brain atlases from a population of individual brains. The pipeline roughly comprises the following steps: imaging, segmentation, surface reconstruction, and averaging. The emphasis is on methods for creation, management, and visualization of brain atlases. The tools developed in recent years will be generalized and adapted in particular for hierarchical atlases. This will include also a concept for integration of functional data. Furthermore, we will utilize differential-geometry based methods for establishing shape correspondences in neuroanatomical morphologies and performing shape averaging with higher accuracy than current methods . Additionally we will develop methods for integrating partial data sets, in particular for registering partially-reconstructed neuropile regions in an atlas. The methods will be applied in close cooperation with the participating research groups and project Z to create atlases that cover different stages of development as well as different levels of detail.