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Exploring connectivity of the brain's white matter with dynamic queries

机译:通过动态查询探索大脑白质的连通性

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Diffusion tensor imaging (DTI) is a magnetic resonance imaging method that can be used to measure local information about the structure of white matter within the human brain. Combining DTI data with the computational methods of MR tractography, neuroscientists can estimate the locations and sizes of nerve bundles (white matter pathways) that course through the human brain. Neuroscientists have used visualization techniques to better understand tractography data, but they often struggle with the abundance and complexity of the pathways. In this paper, we describe a novel set of interaction techniques that make it easier to explore and interpret such pathways. Specifically, our application allows neuroscientists to place and interactively manipulate box or ellipsoid-shaped regions to selectively display pathways that pass through specific anatomical areas. These regions can be used in coordination with a simple and flexible query language which allows for arbitrary combinations of these queries using Boolean logic operators. A representation of the cortical surface is provided for specifying queries of pathways that may be relevant to gray matter structures and for displaying activation information obtained from functional magnetic resonance imaging. By precomputing the pathways and their statistical properties, we obtain the speed necessary for interactive question-and-answer sessions with brain researchers. We survey some questions that researchers have been asking about tractography data and show how our system can be used to answer these questions efficiently.
机译:扩散张量成像(DTI)是一种磁共振成像方法,可用于测量有关人脑内白质结构的局部信息。通过将DTI数据与MR MRI的计算方法相结合,神经科学家可以估计穿过人脑的神经束(白质途径)的位置和大小。神经科学家已经使用可视化技术更好地了解了超声影像学数据,但是他们经常为途径的丰富性和复杂性而苦恼。在本文中,我们描述了一套新颖的交互技术,这些技术使探索和解释此类途径变得更加容易。具体而言,我们的应用程序允许神经科学家放置并交互操作盒形或椭圆形区域,以选择性显示通过特定解剖区域的路径。这些区域可以与简单灵活的查询语言配合使用,该查询语言允许使用布尔逻辑运算符对这些查询进行任意组合。提供皮层表面的表示,用于指定可能与灰质结构有关的路径查询,并显示从功能磁共振成像获得的激活信息。通过预先计算路径及其统计属性,我们获得了与大脑研究人员进行互动式问答环节所必需的速度。我们调查了研究人员一直在问及的一些问题,并展示了如何使用我们的系统有效地回答这些问题。

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