Difference between revisions of "2010 NAMIC Project week: Real-Time Volume Rendering for Virtual Colonoscopy"

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__NOTOC__
 
__NOTOC__
<gallery>
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Image:PW-MIT2010.png|[[2010_Summer_Project_Week#Projects|Projects List]]
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[[File:VC-Slicer-75%.jpg]]
</gallery>
 
  
 
==Key Investigators==
 
==Key Investigators==
* MGH: Hiroyuki Yoshida,Yin Wu
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* MGH: Hiro Yoshida
* BWH: Steve Piper, Ron Kikinis
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* MGH: Yin Wu
  
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* Isomics, Inc: Steve Pieper
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* BWH: Ron Kikinis
  
 
<div style="margin: 20px;">
 
<div style="margin: 20px;">
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<h3>Objective</h3>
 
<h3>Objective</h3>
* Using the Namic GPU volume rendering engine and the Cuda volume rendering engine from Microsoft Research for virtual colonoscopy  
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Pursure volume rendering that is suitable for real-time and interactive virtual colonoscopy display.
* Add center line information to enable fly through using both engines
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* Compare the image quality and performance of both engines
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The objectives of this project is to:
* Initial Multi-touch interface
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* Examine internal volume rendering engines (open source) availabel in Slicer
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* Provide external volume rendering engines (closed source) for virtual colonoscopy
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* Compare the performance of these volume rendering engines.
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* Compare the advantages and disadvantages of these volume rendering engines in real-time high-quality virtual colonoscopy navigation
  
 
</div>
 
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
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Several virtual colonoscopy datasets will be rendered by use of the below volume rendering engines.
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* VTK GPU Raycasting in Slicer 3.6 (GLSL)
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* Microsoft research (MSR) volume rendering (CUDA, closed source)
  
* Input colon volume data and center line information Namic GPU render engines and Cuda volume rendering engine from Microsoft Research for virtual colonoscopy. Generate some benchmarks to compare the performance of Namic GPU Render with Microsoft Research Cuda volume rendering.
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The performance of these volume rendering engines will be compared based on various metrics, including the response to multitouch functions.
  
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
Currently the Microsoft Research Cuda volume rendering engine has been tried for real time colon rendering
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The two volume rendering engines are installed on a single computer equipped with a CUDA-based GPU for rendering the virtual colonoscopy datasets and for performance comparison purposes.
  
 
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==Delivery Mechanism==
 
==Delivery Mechanism==
  
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A table that shows a comparison of the above two rendering engines in terms of
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* rendering performance and
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* advantages and disadvantages in rendering virtual colonoscopy datasets in clinical settings
  
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will be delivered.
  
 
==References==
 
==References==
  
 
</div>
 
</div>

Revision as of 18:03, 21 June 2010

Home < 2010 NAMIC Project week: Real-Time Volume Rendering for Virtual Colonoscopy


VC-Slicer-75%.jpg

Key Investigators

  • MGH: Hiro Yoshida
  • MGH: Yin Wu
  • 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, including the response to multitouch functions.

Progress

The two volume rendering engines are installed on a single computer equipped with a CUDA-based GPU for rendering the virtual colonoscopy datasets and 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.

References