COMFIS -模拟医疗流量数据的比较可视化

R. Raidou, B. Sommer, M. Meuschke, S. Voß, P. Eulzer, G. Janiga, C. Arens, R. Wickenhöfer, B. Preim, K. Lawonn
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引用次数: 1

摘要

人体血液和气流的模拟在个性化医疗中发挥着越来越重要的作用。比较不同治疗方案或干预前后的流量数据对于评估治疗方案和成功非常重要。然而,现有的可视化工具要么是为评估单个数据集而设计的,要么是将比较限制在几个部分方面,例如在容器壁上定义的标量场或内部流动模式。因此,我们提出了C OMFIS,这是一个系统,用于对比视觉分析两个模拟医疗流量数据集,例如在干预之前和之后。我们结合了各种可视化和交互方法来比较底层数据的不同方面,通常是时间相关的数据。这包括在血管/黏液壁上定义的不同标量场的比较视图,潜在体积数据的比较描述,以及流动模式的比较。我们与CFD工程师和医学专家一起评估了C OMFIS,他们能够有效地找到有助于评估治疗方案的有趣数据见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COMFIS - Comparative Visualization of Simulated Medical Flow Data
Simulations of human blood and airflow are playing an increasing role in personalized medicine. Comparing flow data of different treatment scenarios or before and after an intervention is important to assess treatment options and success. However, existing visualization tools are either designed for the evaluation of a single data set or limit the comparison to a few partial aspects such as scalar fields defined on the vessel wall or internal flow patterns. Therefore, we present C OMFIS , a system for the comparative visual analysis of two simulated medical flow data sets, e.g. before and after an intervention. We combine various visualization and interaction methods for comparing different aspects of the underlying, often time-dependent data. These include comparative views of different scalar fields defined on the vessel/mucous wall, comparative depictions of the underlying volume data, and comparisons of flow patterns. We evaluated C OMFIS with CFD engineers and medical experts, who were able to efficiently find interesting data insights that help to assess treatment options.
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