up:
Efficient Volume Visualization of Large Medical Datasets
previous:
Efficient Volume Visualization of Large Medical Datasets
next:
Introduction
Contents
Introduction
State of the Art in Volume Rendering
Optical Model for Volume Rendering
Volume Rendering Techniques
Image-Order Volume Rendering
Object-Order Volume Rendering
Hybrid-Order Volume Rendering
Texture Mapping Techniques
Special-Purpose Hardware
Comparison of Volume Rendering Algorithms
Volume Rendering of Large Datasets
Introduction
System Requirements
Implications
The Raycasting Pipeline
Reconstruction
Classification
Shading
Compositing
Memory Management for Large Datasets
Bricking
Addressing
Traversal
Parallelization Strategies for Commodity Hardware
Symmetric Multiprocessing
Simultaneous Multithreading
Memory Efficient Acceleration Data Structures
Gradient Cache
Entry Point Buffer
Cell Invisibility Cache
Load Balancing
Maintaining Interactivity
Implementation
Architecture
Environment
Volumes
Renderers
Manipulators
Viewers
Results
Memory Management for Large Datasets
Parallelization Strategies for Commodity Hardware
Memory Efficient Acceleration Data Structures
Comparison of Reconstruction Filters
Visualization Results
Summary
Introduction
Memory Management for Large Datasets
Bricking
Addressing
Traversal
Parallelization Strategies for Commodity Hardware
Symmetric Multiprocessing
Simultaneous Multithreading
Memory Efficient Acceleration Data Structures
Gradient Cache
Entry Point Buffer
Cell Invisibility Cache
Results
Memory Management for Large Datasets
Parallelization Strategies for Commodity Hardware
Memory Efficient Acceleration Data Structures
Conclusion
Bibliography
List of Figures
List of Tables