Graxels: Information Rich Primitives for the Visualization of Time-Dependent Spatial Data

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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Time-dependent volumetric data has important applications in areas as diverse as medicine, climatology, and engineering. However, the simultaneous quantitative assessment of spatial and temporal features is very challenging. Common visualization techniques show either the whole volume in one time step (for example using direct volume rendering) or let the user select a region of interest (ROI) for which a collection of time-intensity curves is shown. In this paper, we propose a novel approach that dynamically embeds quantitative detail views in a spatial layout. Inspired by the concept of small multiples, we introduce a new primitive graxel (graph pixel). Graxels are view dependent primitives of time-intensity graphs, generated on-the-fly by aggregating per-ray information over time and image regions. Our method enables the detailed feature-aligned visual analysis of time-dependent volume data and allows interactive refinement and filtering. Temporal behaviors like frequency relations, aperiodic or periodic oscillations and their spatial context are easily perceived with our method. We demonstrate the power of our approach using examples from medicine and the natural sciences.
Description

        
@inproceedings{
10.2312:vcbm.20161286
, booktitle = {
Eurographics Workshop on Visual Computing for Biology and Medicine
}, editor = {
Stefan Bruckner and Bernhard Preim and Anna Vilanova and Helwig Hauser and Anja Hennemuth and Arvid Lundervold
}, title = {{
Graxels: Information Rich Primitives for the Visualization of Time-Dependent Spatial Data
}}, author = {
Stoppel, Sergej
 and
Hodneland, Erlend
 and
Hauser, Helwig
 and
Bruckner, Stefan
}, year = {
2016
}, publisher = {
The Eurographics Association
}, ISSN = {
2070-5786
}, ISBN = {
978-3-03868-010-9
}, DOI = {
10.2312/vcbm.20161286
} }
Citation