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首页> 外文期刊>Frontiers in Neuroanatomy >An In vivo Multi-Modal Structural Template for Neonatal Piglets Using High Angular Resolution and Population-Based Whole-Brain Tractography
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An In vivo Multi-Modal Structural Template for Neonatal Piglets Using High Angular Resolution and Population-Based Whole-Brain Tractography

机译:高角度分辨率和基于种群的全脑Tractography的新生仔猪的体内多模式结构模板

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An increasing number of applications use the postnatal piglet model in neuroimaging studies, however, these are based primarily on T1 weighted image templates. There is a growing need for a multimodal structural brain template for a comprehensive depiction of the piglet brain, particularly given the growing applications of diffusion weighted imaging for characterizing tissue microstructures and white matter organization. In this study, we present the first multimodal piglet structural brain template which includes a T1 weighted image with tissue segmentation probability maps, diffusion weighted metric templates with multiple diffusivity maps, and population-based whole-brain fiber tracts for postnatal piglets. These maps provide information about the integrity of white matter that is not available in T1 images alone. The availability of this diffusion weighted metric template will contribute to the structural imaging analysis of the postnatal piglet brain, especially models that are designed for the study of white matter diseases. Furthermore, the population-based whole-brain fiber tracts permit researchers to visualize the white matter connections in the piglet brain across subjects, guiding the delineation of a specific white matter region for structural analysis where current diffusion data is lacking. Researchers are able to augment the tracts by merging tracts from their own data to the population-based fiber tracts and thus improve the confidence of the population-wise fiber distribution.
机译:越来越多的应用在神经影像研究中使用出生后的仔猪模型,但是,这些主要基于T1加权图像模板。人们越来越需要一种多模式的结构化大脑模板来全面描述仔猪的大脑,特别是考虑到扩散加权成像在表征组织微结构和白质组织方面的应用越来越广泛。在这项研究中,我们介绍了第一个多模式仔猪结构脑模板,其中包括带有组织分割概率图的T1加权图像,带有多个扩散图的扩散加权度量模板以及产后仔猪的基于群体的全脑纤维束。这些图提供了仅在T1图像中无法获得的有关白质完整性的信息。这种扩散加权度量模板的可用性将有助于产后仔猪大脑的结构成像分析,特别是设计用于研究白质疾病的模型。此外,基于人群的全脑纤维束使研究人员可以可视化跨对象的仔猪大脑中的白质连接,为缺乏当前扩散数据的结构分析指导特定白质区域的描绘。研究人员能够通过将自己的数据中的数据段合并到基于人口的纤维段中来扩大数据束,从而提高按人口分布的纤维分布的置信度。

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