FiberStars：多名受试者弥散纤维束成像数据的视觉比较
FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects
摘要：
纤维束成像从高维扩散磁共振成像（dMRI）数据允许大脑的结构连接分析。最近的dMRI研究旨在比较受试者群体和疾病人群的连接模式，以了解大脑白质连接的细微异常和生物敏感的dMRI衍生指标的分布。现有软件产品仅关注解剖结构，不直观或限制多个受试者的比较。在本文中，我们介绍了FiberStars的设计和实现，这是一种用于纤维束成像数据的视觉分析工具，可以将现有的3D解剖结构与紧凑的2D可视化结合起来，对脑纤维簇进行交互式可视化。通过FiberStars，研究人员可以使用不同的视图分析和比较大量脑纤维中的多个受试者。为了评估我们软件的可用性，我们进行了定量用户研究。我们要求领域专家和非专家使用FiberStars或现有的dMRI探索工具在纤维束成像数据集中找到模式。我们的研究结果表明，使用FiberStars的参与者可以更快，更准确地浏览广泛的纤维束成像集合。我们所有的研究、软件和结果都是公开的。
英文摘要：
Tractography from high-dimensional diffusion magnetic resonance imaging (dMRI) data allows brain's structural connectivity analysis. Recent dMRI studies aim to compare connectivity patterns across subject groups and disease populations to understand subtle abnormalities in the brain's white matter connectivity and distributions of biologically sensitive dMRI derived metrics. Existing software products focus solely on the anatomy, are not intuitive or restrict the comparison of multiple subjects. In this paper, we present the design and implementation of FiberStars, a visual analysis tool for tractography data that allows the interactive visualization of brain fiber clusters combining existing 3D anatomy with compact 2D visualizations. With FiberStars, researchers can analyze and compare multiple subjects in large collections of brain fibers using different views. To evaluate the usability of our software, we performed a quantitative user study. We asked domain experts and non-experts to find patterns in a tractography dataset with either FiberStars or an existing dMRI exploration tool. Our results show that participants using FiberStars can navigate extensive collections of tractography faster and more accurately. All our research, software, and results are available openly.
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