A Flexible Multi-Volume Shader Framework for Arbitrarily Intersecting Multi-Resolution Datasets
IEEE Transactions on Visualization and Computer Graphics
Hardware-Accelerated Particle-Based Volume Rendering for Multiple Irregular Volumes
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
GPU-Based Ray Casting of Multiple Multi-resolution Volume Datasets
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Efficient multimodality volume fusion using graphics hardware
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
Fused multi-volume DVR using binary space partitioning
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
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The authors present a new method for direct volume rendering of multiple three-dimensional (3-D) functions using a density emitter model. The work is aimed at obtaining visual assessment of the results of a 3-D image registration algorithm which operates on anisotropic and non-segmented medical data. They first discuss the fundamentals associated with direct, simultaneous rendering of such datasets. Then, they recall the fuzzy classification and fuzzy surface rendering theory within the density emitter model terminology, and propose an extension of standard direct volume rendering that can handle the rendering of two or more 3-D functions; this consists of the definition of merging rules that are applied on emitter clouds. The included rendering applications are related on one hand, to volume-to-volume registration, and on the other hand, to surface-to-volume registration: the first case is concerned with global elastic registration of CT data, and the second one presents fitting of an implicit surface over a CT data subset. In these two medical imaging application cases, the rendering scheme offers a comprehensive appreciation of the relative position of structural information.