Difference between revisions of "2010 NAMIC Project week: Volume Rendering for Virtual Colonoscopy"
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<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
| − | Several virtual colonoscopy datasets will be rendered by use of the below volume rendering | + | Several virtual colonoscopy datasets will be rendered by use of the below volume rendering engines. |
* VTK GPU Raycasting in slicer 3.6 (GLSL) | * VTK GPU Raycasting in slicer 3.6 (GLSL) | ||
* Microsoft research (MSR) volume rendering (CUDA, closed source) | * Microsoft research (MSR) volume rendering (CUDA, closed source) | ||
| − | + | The performance of these volume rendering engines will be compared based on various metrics. | |
</div> | </div> | ||
Revision as of 11:20, 21 June 2010
Home < 2010 NAMIC Project week: Volume Rendering for Virtual Colonoscopy
Key Investigators
- MGH: Yin Wu
- MGH: Hiro Yoshida
- Isomics, Inc: Steve Pieper
- BWH: Ron Kikinis
Objective
Pursure volume rendering that is suitable for real-time and interactive virtual colonoscopy display.
The objectives of this project is to:
- Examine internal volume rendering engines (open source) availabel in Slicer
- Provide external volume rendering engines (closed source) for virtual colonoscopy
- Compare the performance of these volume rendering engines.
- Compare the advantages and disadvantages of these volume rendering engines in real-time high-quality virtual colonoscopy navigation
Approach, Plan
Several virtual colonoscopy datasets will be rendered by use of the below volume rendering engines.
- VTK GPU Raycasting in slicer 3.6 (GLSL)
- Microsoft research (MSR) volume rendering (CUDA, closed source)
The performance of these volume rendering engines will be compared based on various metrics.
Progress
The two volume rendering routines are installed on a single computer (single CUDA-based GPU) for rendering the virtual colonoscopy datasets as well as for performance comparison purposes.
Delivery Mechanism
A table that shows a comparison of the above two rendering engines in terms of
- rendering performance and
- advantages and disadvantages in rendering virtual colonoscopy datasets in clinical settings
will be delivered.
