Accelerated volume rendering and tomographic reconstruction using texture mapping hardware
VVS '94 Proceedings of the 1994 symposium on Volume visualization
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
HWWS '00 Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware
High-quality pre-integrated volume rendering using hardware-accelerated pixel shading
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware
High-quality unstructured volume rendering on the PC platform
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
A Hardware-Assisted Scalable Solution for Interactive Volume Rendering of Time-Varying Data
IEEE Transactions on Visualization and Computer Graphics
Interactive Texture-Based Volume Rendering for Large Data Sets
IEEE Computer Graphics and Applications
Smart hardware-accelerated volume rendering
VISSYM '03 Proceedings of the symposium on Data visualisation 2003
Linear algebra operators for GPU implementation of numerical algorithms
ACM SIGGRAPH 2003 Papers
Accelerating Volume Reconstruction With 3D Texture Hardware
Accelerating Volume Reconstruction With 3D Texture Hardware
Acceleration Techniques for GPU-based Volume Rendering
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Compression Domain Volume Rendering
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Empty Space Skipping and Occlusion Clipping for Texture-based Volume Rendering
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Gaussian Transfer Functions for Multi-Field Volume Visualization
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
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In the last years, texture based volume rendering on the PC platform has proven very successful. Many methods that could formerly only be done with software renderers can now be done completely by the graphics hardware. In this paper we present first results of our ongoing work that deals with the visualization of time dependent CT data of the human heart. We compare the drawbacks and benefits of 3D and 2D texture based methods. We also show that a high quality shaded rendering can considerably improve the visual quality. Then we present our results in the area of classification methods, especially using two-dimensional classification. Finally we demonstrate that it is possible to visualize a beating heart using moderately sized time dependent Cardio-CT data.