Towards a Unified User Interface for Visual Analysis of Retinal Data in Ophthalmology

TL;DR

This paper presents a unified, visualization-supported toolchaining approach that integrates workflow, tools, and data for efficient visual analysis of retinal data in ophthalmology, enhancing usability and analysis speed.

Contribution

It introduces a novel approach combining workflow, tools, and data visualization to streamline retinal data analysis in ophthalmology, with initial expert feedback.

Findings

Improved workflow efficiency in retinal data analysis.

Enhanced visualization of tool and data connections.

Positive initial feedback from ophthalmic experts.

Abstract

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.