VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Volumetric rendering of multimodality, multivariable medical imaging data
VVS '89 Proceedings of the 1989 Chapel Hill workshop on Volume visualization
Parameter-controlled volume thinning
CVGIP: Graphical Models and Image Processing
Medical Imaging: Surface Mapping Brain Function on 3D Models
IEEE Computer Graphics and Applications
Decision trees for accelerating unimodal, hybrid and multimodal rendering models
The Visual Computer: International Journal of Computer Graphics
Real-time Volume Graphics
Efficient multimodality volume fusion using graphics hardware
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
Comparing GPU-based multi-volume ray casting techniques
Computer Science - Research and Development
Strategy of statistics-based visualization for segmented 3d cardiac volume data set
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
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In this paper, we describe a volume rendering application for multimodal datasets based on 3D texture mapping. Our method takes as input two pre-registered voxel models and constructs two 3D textures. It renders the multimodal data by depth compositing view-aligned texture slices of the model. For each texel of a slice, it performs a fetch to each 3D texture and performs fusion and shading using a fragment shader. The application allows users to choose either emission and absorption shading or surface shading for each model. Shading is implemented by using two auxiliary 1D textures for each transfer function. Moreover, data fusion takes into account the presence of surfaces and the specific values that are merged, so that the weight of each modality in fusion is not constant but defined through a 2D transfer function implemented as a 2D texture. This method is very fast and versatile and it provides a good insight into multimodal data.