We present Aneulysis, a system to improve risk assessment and treatment planning of cerebral aneurysms. Aneurysm growth, rupture and treatment success depend on the interplay of vascular morphology and hemodynamics. Blood flow simulations can obtain the patient-specific hemodynamics. However, analyzing the time-dependent, multi-attribute data is time-consuming and error-prone. Aneulysis supports the visual analysis of morphological and hemodynamic aneurysm information by providing different data processing and visualization modules that form an application. In this paper, we integrated a web-based module to analyze aneurysm data, which was designed and evaluated together with domain experts who confirmed its usefulness and clinical relevance. The web-based module supports the delivery of exploration results to people who do not have direct access to the entire database, such as experts at different locations, students or patients. Thus, data sets including findings from previous exploration sessions can be exploited without installing the complete non-web-based application locally.

我们提出了Aneulysis，这是一种改进脑动脉瘤风险评估和治疗计划的系统。动脉瘤的生长、破裂和治疗成功取决于血管形态和血流动力学的相互作用。血流模拟可以获得患者特定的血流动力学。然而，分析与时间相关的多属性数据既耗时又容易出错。分析通过提供形成应用程序的不同数据处理和可视化模块，支持形态学和血流动力学动脉瘤信息的可视化分析。在本文中，我们集成了一个基于网络的模块来分析动脉瘤数据，该模块是与领域专家一起设计和评估的，这些专家确认了其有用性和临床相关性。基于 Web 的模块支持向无法直接访问整个数据库的人员（例如不同地点的专家、学生或患者）提供探索结果。因此，无需在本地安装完整的非基于 Web 的应用程序，即可利用包括先前探索会话发现的数据集。