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Slice-based Visualization of Brain Fiber Bundles - A LIC-based Approach

机译:基于切片的脑纤维捆绑的可视化 - 基于LIC的方法

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The reconstruction of brain fibers from diffusion MRI data is a widely studied field. There is a great variety of algorithms to generate fiber tracts. Despite the many possibilities to create fiber tractograms, it is not very common within the medical community to make use of them. We think there are two reasons why the acceptance of this technique is so low. The first reason is that most time the degree of detail provided by singular fibers is neither justified nor needed. Second, within the medical domain tractography visualization is still uncommon. To solve the first problem it is common to apply clustering algorithms which aggregate the single fibers to fiber bundles. In this paper, we display the fiber bundles within slices. The presentation within slices is common within the medical community and very intuitive to examine. Furthermore, our visualization allows the spatial assignment of fiber bundles to the brain structure provided as T1 images. Among many neuroscientists and physicians, T1 images are the main source for spatial orientation within the brain.
机译:来自扩散MRI数据的脑纤维的重建是一种广泛研究的领域。产生多种算法以产生纤维束。尽管创造了光纤牵引图的许多可能性,但医学界的利用是不是很常见。我们认为这项技术的接受有两个原因如此之低。第一个原因是,大多数时候奇异纤维提供的细节程度既不是合理的,也不需要。其次,在医疗领域的牵引形象中仍然罕见。为了解决第一个问题,通常将聚类算法应用于纤维束。在本文中,我们在切片内显示光纤束。切片内的演示文稿是常见的医学界,非常直观地检查。此外,我们的可视化允许将光纤束的空间分配给提供为T1图像提供的大脑结构。在许多神经科学家和医生中,T1图像是大脑内空间取向的主要来源。

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