Ullmann Jeremy F P, Janke Andrew L, Reutens David, Watson Charles
Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland, 4072, Australia.
J Comp Neurol. 2015 Feb 15;523(3):391-405. doi: 10.1002/cne.23678. Epub 2014 Oct 8.
Brain atlases are a fundamental resource for neuroscience research. In the past few decades they have undergone a transition from traditional printed histological atlases to digital atlases made up of multiple data sets from multiple modalities, and atlases based on magnetic resonance imaging (MRI) have become widespread. Here we discuss the methods involved in making an MRI brain atlas, including registration of multiple data sets into a model, ontological classification, segmentation of a minimum deformation model, dissemination strategies, and applications of these atlases. Finally, we discuss possible future directions in the development of brain atlases.
脑图谱是神经科学研究的基础资源。在过去几十年里,它们经历了从传统印刷组织学图谱到由多种模态的多个数据集组成的数字图谱的转变,基于磁共振成像(MRI)的图谱已广泛应用。在此,我们讨论制作MRI脑图谱所涉及的方法,包括将多个数据集配准到一个模型、本体分类、最小变形模型的分割、传播策略以及这些图谱的应用。最后,我们讨论脑图谱未来可能的发展方向。