Construction of vector field hierarchies
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Simplified representation of vector fields
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
A continuous clustering method for vector fields
Proceedings of the conference on Visualization '00
A Phase Field Model for Continuous Clustering on Vector Fields
IEEE Transactions on Visualization and Computer Graphics
IEEE Computer Graphics and Applications
International Journal of Human-Computer Studies - Special issue: Interactive graphical communication
VISSYM '03 Proceedings of the symposium on Data visualisation 2003
Parallel hierarchical visualization of large time-varying 3D vector fields
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Beautiful Visualization: Looking at Data through the Eyes of Experts
Beautiful Visualization: Looking at Data through the Eyes of Experts
Exploration of 4D MRI Blood Flow using Stylistic Visualization
IEEE Transactions on Visualization and Computer Graphics
Interactive Virtual Probing of 4D MRI Blood-Flow
IEEE Transactions on Visualization and Computer Graphics
Topological Methods in Data Analysis and Visualization II: Theory, Algorithms, and Applications
Topological Methods in Data Analysis and Visualization II: Theory, Algorithms, and Applications
Adapted surface visualization of cerebral aneurysms with embedded blood flow information
EG VCBM'10 Proceedings of the 2nd Eurographics conference on Visual Computing for Biology and Medicine
Real-time advection and volumetric illumination for the visualization of 3D unsteady flow
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
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Advancements in the acquisition and modeling of flow fields result in unsteady volumetric flow fields of unprecedented quality. An important example is found in the analysis of unsteady blood-flow data. Preclinical research strives for a better understanding of correlations between the hemodynamics and the progression of cardiovascular diseases. Modern-day computer models and MRI acquisition provide time-resolved volumetric blood-flow velocity fields. Unfortunately, these fields often remain unexplored, as high-dimensional data are difficult to conceive. We present a spatiotemporal, i.e., four-dimensional, hierarchical clustering, yielding a sparse representation of the velocity data. The clustering results underpin an illustrative visualization approach, facilitating visual analysis. The hierarchy allows an intuitive level-of-detail selection, largely retaining important flow patterns. The clustering employs dissimilarity measures to construct the hierarchy. We have adapted two existing measures for steady vector fields for use in the spacetime domain. Because of the inherent computational complexity of the multidimensional clustering, we introduce a coarse hierarchical clustering approach, which closely approximates the full hierarchy generation, and considerably improves the performance. The resulting clusters are visualized by representative patharrows, in combination with an illustrative anatomical context. We present various seeding approaches and visualization styles, providing sparse overviews of the unsteady behavior of volumetric flow fields. © 2012 Wiley Periodicals, Inc.