Ieee Transactions on Visualization and Computer Graphics 1 Exploring Connectivity of the Brain's White Matter with Dynamic Queries

Ieee Transactions on Visualization and Computer Graphics 1 Exploring Connectivity of the Brain's White Matter with Dynamic Queries
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通讯作者:
Anthony J. Sherbondy;David Akers;Rachel Mackenzie;R. Dougherty;B. Wandell
Anthony J. Sherbondy;David Akers;Rachel Mackenzie;R. Dougherty;B. Wandell
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作者:
Anthony J. Sherbondy;David Akers;Rachel Mackenzie;R. Dougherty;B. Wandell

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Fig. 1.辐射冠。我们的系统使用动态查询来找到MR纤维束成像所建议的神经通路中的结构。摘要-扩散张量成像(DTI)是一种磁共振成像方法,可用于测量人脑内白色物质结构的局部信息。将DTI数据与MR纤维束成像的计算方法相结合,神经科学家可以估计穿过人脑的神经束(白色物质通路)的位置和大小。神经科学家已经使用可视化技术来更好地理解纤维束成像数据,但他们经常与丰富和复杂的通路作斗争。在本文中,我们描述了一套新的互动技术,使其更容易探索和解释这样的途径。具体来说,我们的应用程序允许神经科学家放置和交互式操纵盒形或椭圆形区域,以选择性地显示通过特定解剖区域的路径。这些区域可以与简单而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。皮质表面的表示被提供用于指定可能与灰质结构相关的路径的查询,并且用于显示从功能性磁共振成像获得的激活信息。通过预先计算路径及其统计特性,我们获得了与大脑研究人员进行交互式问答所需的速度。我们调查了一些问题,研究人员一直在询问有关纤维束成像数据,并显示我们的系统可以用来有效地回答这些问题。
Fig. 1. The corona radiata. Our system uses dynamic queries to find structure in neural pathways suggested by MR tractography. Abstract— 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.