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DTI-Based Thalamus Segmentation - A Group Study

机译:基于DTI的Thalamus分割-小组研究

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摘要

Fast and accurate segmentation of deep gray matter structures is important for clinical applications such as for example surgery planning for the placement of deep brain stimulation implants. We implemented a segmentation method that is solely based on local diffusion information and did evaluate it on a group of 53 healthy volunteers to investigate the reproducibility and thereby the usability of this method. We were able to show that the segmentation produces subdivisions which are reproducible for a large population. We could also show that not only the three previously reported large clusters were reproducible but also four smaller clusters could be found in the same position in more than 60% of the subjects.
机译:快速,准确地分割深层灰质结构对于临床应用非常重要,例如用于深脑刺激植入物放置的手术计划。我们实施了一种仅基于局部扩散信息的细分方法,并对53名健康志愿者进行了评估,以研究该方法的可重复性和可用性。我们能够证明,细分产生的细分对于大量人口是可复制的。我们还可以证明,不仅先前报道的三个大簇是可重现的,而且在60%以上的受试者中,在相同位置也可以发现四个较小的簇。

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