The grand tour: a tool for viewing multidimensional data
SIAM Journal on Scientific and Statistical Computing
Grand tour methods: an outline
Proceedings of the Seventeenth Symposium on the interface of computer sciences and statistics on Computer science and statistics
Proceedings of the conference on Visualization '00
Interactive feature specification for focus+context visualization of complex simulation data
VISSYM '03 Proceedings of the symposium on Data visualisation 2003
GGobi: evolving from XGobi into an extensible framework for interactive data visualization
Computational Statistics & Data Analysis - Data visualization
XmdvTool: integrating multiple methods for visualizing multivariate data
VIS '94 Proceedings of the conference on Visualization '94
Visualization of Boundaries in Volumetric Data Sets Using LH Histograms
IEEE Transactions on Visualization and Computer Graphics
Interactive Visual Analysis of Perfusion Data
IEEE Transactions on Visualization and Computer Graphics
Technical Section: Example-based interactive illustration of multi-field datasets
Computers and Graphics
EG VCBM'08 Proceedings of the First Eurographics conference on Visual Computing for Biomedicine
Dynamic multi-view exploration of shape spaces
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Design and evaluation of multifield visualisation techniques for 2D vector fields
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Continuous representation of projected attribute spaces of multifields over any spatial sampling
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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Multi-field datasets contain multiple parameters defined over the same spatio-temporal domain. In medicine, such multi-field data is being used more often every day, and there is an urgent need for exploratory visualization approaches that are able to deal effectively with the data-analysis. In this paper, we present a highly interactive, coordinated view-based visualization approach that has been developed especially for dealing with multi-field medical data. It can show any number of views of the physical domain and also of the abstract high-dimensional feature space. The approach has been optimized for interactive use with very large datasets. It is based on intuitive interaction techniques, and integrates analysis techniques from pattern classification to guide the exploration process. We will give some details about the implementation, and we demonstrate the utility of our approach with two real medical use cases.