The visual analysis of retinal data contributes to the understanding of a wide range of eye diseases. For the evaluation of cross-sectional studies, ophthalmologists rely on workflows and toolsets established in their work environment. That is, they know what tools and data are needed at each step of their workflow. Yet, manually operating the various tools, including activation, data handling, or view arrangement, can be cumbersome and time-consuming. We thus introduce a new visualization-supported toolchaining approach that combines workflow, tools, and data. First, we provide access to the tools required for each step of the workflow. Second, we handle the exchange of data between these tools. Third, we organize the views of the tools on screen using suitable layouts. Fourth, we visualize the connection between workflow, tools, and data to support the data analysis. We demonstrate our approach with a use case in ophthalmic research and report on initial feedback from experts.
翻译:对视网膜数据的视觉分析有助于了解广泛的眼病。 眼科医生在评估跨部门研究时,依靠在他们的工作环境中建立的工作流程和工具。 也就是说, 他们知道在工作流程的每一步都需要哪些工具和数据。 然而, 手动操作各种工具, 包括激活、 数据处理或视图安排, 可能会很麻烦而且很费时。 因此, 我们引入一种新的视觉化辅助工具链方法, 将工作流程、 工具和数据结合起来。 首先, 我们提供对工作流程每一步所需的工具的访问。 其次, 我们处理这些工具之间的数据交换。 第三, 我们利用合适的布局组织对屏幕工具的看法。 第四, 我们用视觉化的工作流程、 工具和数据之间的联系来支持数据分析。 我们用眼科研究中的应用案例来展示我们的方法, 并报告专家的初步反馈 。