Display of Surfaces from Volume Data
IEEE Computer Graphics and Applications
Multi-modal volume visualization using object-oriented methods
VVS '94 Proceedings of the 1994 symposium on Volume visualization
Alignment by Maximization of Mutual Information
International Journal of Computer Vision
Semi-automatic generation of transfer functions for direct volume rendering
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
The transfer function bake-off (panel session)
Proceedings of the conference on Visualization '00
Volume rendering multivariate data to visualize meteorological simulations: a case study
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Proceedings of the conference on Visualization '01
Gaussian Transfer Functions for Multi-Field Volume Visualization
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
High-Level User Interfaces for Transfer Function Design with Semantics
IEEE Transactions on Visualization and Computer Graphics
Visualizing Dual-Modality Rendered Volumes Using a Dual-Lookup Table Transfer Function
Computing in Science and Engineering
Efficient multimodality volume fusion using graphics hardware
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
A tri-space visualization interface for analyzing time-varying multivariate volume data
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
Medical applications of multi-field volume rendering and VR techniques
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
Information theory in computer graphics and visualization
SIGGRAPH Asia 2011 Courses
Technical Section: Transfer function combinations
Computers and Graphics
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Visibility-driven PET-CT visualisation with region of interest (ROI) segmentation
The Visual Computer: International Journal of Computer Graphics
An information-theoretic observation channel for volume visualization
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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Transfer functions are an essential part of volume visualization. In multimodal visualization at least two values exist at every sample point. Additionally, other parameters, such as gradient magnitude, are often retrieved for each sample point. To find a good transfer function for this high number of parameters is challenging because of the complexity of this task. In this paper we present a general information-based approach for transfer function design in multimodal visualization which is independent of the used modality types. Based on information theory, the complex multi-dimensional transfer function space is fused to allow utilization of a well-known 2D transfer function with a single value and gradient magnitude as parameters. Additionally, a quantity is introduced which enables better separation of regions with complementary information. The benefit of the new method in contrast to other techniques is a transfer function space which is easy to understand and which provides a better separation of different tissues. The usability of the new approach is shown on examples of different modalities.