CerebroVis: Designing an Abstract yet Spatially Contextualized Cerebral Artery Network Visualization
CerebroVis: Designing an Abstract yet Spatially Contextualized Cerebral Artery Network Visualization
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DOI：
10.1109/tvcg.2019.2934402
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发表时间：
2019-07
影响因子：
5.2
通讯作者：
Aditeya Pandey;H. Shukla;G. Young;Lei Qin;A. Zamani;L. Hsu;Raymond Huang;Cody Dunne;M. Borki
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文献类型：
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作者：
Aditeya Pandey;H. Shukla;G. Young;Lei Qin;A. Zamani;L. Hsu;Raymond Huang;Cody Dunne;M. Borki
人脑的血液循环是通过脑动脉网络供应的。如果临床医生怀疑患者患有中风或其他脑血管疾病，他们会要求进行影像学检查。神经放射科医生通过目视检查扫描结果是否存在异常。他们的视觉搜索任务对应于浏览和路径跟踪的抽象网络分析任务。为了帮助神经放射科医生识别脑动脉异常，我们设计了 CerebroVis，一种新颖的抽象但空间情境化的脑动脉网络可视化。在这项设计研究中，我们根据网络理论提出了脑动脉系统的新颖框架和定义，并将神经放射学家的领域目标描述为抽象可视化和网络分析任务。通过迭代、以用户为中心的设计过程，我们开发了一种抽象的网络布局技术，其中结合了脑动脉空间背景。与 3D 几何表示相比，抽象可视化能够提高领域任务性能，同时包含空间上下文有助于保留用户对底层几何的心理图。我们提供网络布局技术和原型脑动脉可视化工具的开源实现。我们通过成功进行 61 次开源脑部扫描来证明我们技术的稳健性。我们通过与三名神经放射科医生的混合方法研究来评估我们布局的有效性。在一项形成性对照实验中，我们的研究参与者使用 CerebroVis 和传统的 3D 可视化来检查真实的脑动脉成像数据，以识别模拟的颅内动脉狭窄。参与者使用 CerebroVis 可以更准确地识别狭窄（绝对风险差异 13%）。本文的免费副本、评估刺激和数据以及源代码可在 osf.io/e5sxt 上获得。
Blood circulation in the human brain is supplied through a network of cerebral arteries. If a clinician suspects a patient has a stroke or other cerebrovascular condition, they order imaging tests. Neuroradiologists visually search the resulting scans for abnormalities. Their visual search tasks correspond to the abstract network analysis tasks of browsing and path following. To assist neuroradiologists in identifying cerebral artery abnormalities, we designed CerebroVis, a novel abstract—yet spatially contextualized—cerebral artery network visualization. In this design study, we contribute a novel framing and definition of the cerebral artery system in terms of network theory and characterize neuroradiologist domain goals as abstract visualization and network analysis tasks. Through an iterative, user-centered design process we developed an abstract network layout technique which incorporates cerebral artery spatial context. The abstract visualization enables increased domain task performance over 3D geometry representations, while including spatial context helps preserve the user's mental map of the underlying geometry. We provide open source implementations of our network layout technique and prototype cerebral artery visualization tool. We demonstrate the robustness of our technique by successfully laying out 61 open source brain scans. We evaluate the effectiveness of our layout through a mixed methods study with three neuroradiologists. In a formative controlled experiment our study participants used CerebroVis and a conventional 3D visualization to examine real cerebral artery imaging data to identify a simulated intracranial artery stenosis. Participants were more accurate at identifying stenoses using CerebroVis (absolute risk difference 13%). A free copy of this paper, the evaluation stimuli and data, and source code are available at osf.io/e5sxt.