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Atlas-based segmentation of white matter tracts of the human brain using diffusion tensor tractography and comparison with classical dissection.

机译:基于地图集的人脑白质束分割,使用扩散张量束线照相术并与经典解剖进行比较。

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The technique of diffusion tensor tractography is gaining increasing prominence as a non-invasive method for studying the architecture of the white matter pathways in the human brain. Numerous studies have been published that attempt to identify or reconstruct particular pathways of interest. An atlas or map of all the pathways in the white matter would be particularly useful for providing detailed anatomical data that is not available in studies based on conventional MRI data. In this paper we present a method for constructing a white matter atlas to define structures from diffusion tensor tractography by making use of the locations of the anatomical terminations of individual streamlines that pass through white matter. We show how a map of unique seed regions can be used to generate tracts of interest. This approach provides anatomical information that can be rapidly applied to MRI datasets for the clear identification of white matter tracts. We show close correspondence of the tracts generated from the atlas with tracts isolated with classical dissection of post-mortem brain tissue.
机译:作为研究人脑中白质途径结构的一种非侵入性方法,扩散张量束线照相术的技术正日益受到重视。已经发表了许多研究来试图识别或重建特定的感兴趣途径。白质中所有途径的图谱或图谱对于提供详细的解剖学数据特别有用,这些数据是基于常规MRI数据的研究无法获得的。在本文中,我们提出了一种构造白质图集的方法,该方法可通过利用穿过白质的各个流线的解剖学终端位置来根据扩散张量束线图定义结构。我们展示了如何使用独特种子区域的地图来生成感兴趣的片段。这种方法提供了可以快速应用于MRI数据集的解剖信息,以明确识别白质束。我们显示地图集产生的管道与验尸后脑组织经典解剖分离出的管道紧密对应。

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