Void Space Surfaces to Convey Depth in Vessel Visualizations

TL;DR

This paper introduces Void Space Surfaces, a novel visualization technique that uses empty space between vessel branches to improve depth perception in vascular images without obscuring additional data.

Contribution

The paper presents Void Space Surfaces, a new method that leverages void spaces for depth cues, overcoming limitations of existing surface-based approaches.

Findings

Void Space Surfaces improve depth perception in vessel visualizations.

User study shows enhanced understanding with Void Space Surfaces.

Method preserves visibility of additional vessel attributes.

Abstract

To enhance depth perception and thus data comprehension, additional depth cues are often used in 3D visualizations of complex vascular structures. Accordingly, there is a variety of different approaches described in the literature, ranging from chromadepth color coding over depth of field to glyph-based encodings. Unfortunately, the majority of existing approaches suffers from the same problem. As these cues are directly applied to the geometry's surface, the display of additional information, such as other modalities or derived attributes, associated with a vessel is impaired. To overcome this limitation we propose Void Space Surfaces which utilize the empty space in between vessel branches to communicate depth and their relative positioning. This allows us to enhance the depth perception of vascular structures without interfering with the spatial data and potentially superimposed parameter information. Within this paper we introduce Void Space Surfaces, describe their technical realization, and show their application to various vessel trees. Moreover, we report the outcome of a user study which we have conducted in order to evaluate the perceptual impact of Void Space Surfaces as compared to existing vessel visualization techniques.