Difference between revisions of "2016 Winter Project Week/Projects/CommonGL"

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Image:PW-MIT2016.png|[[2016_Winter_Project_Week#Projects|Projects List]]
 
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==Project Description==
 
==Project Description==
 
{| class="wikitable"
 
{| class="wikitable"
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! style="text-align: left; width:27%" |  Objective
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! style="text-align: left; width:27%" |  Approach and Plan
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! style="text-align: left; width:27%" |  Progress and Next Steps
 
|- style="vertical-align:top;"
 
|- style="vertical-align:top;"
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! style="text-align: left; width:27%" | Objective
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|
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<!-- Objective bullet points -->
  
 
* Move forward on a set of code to do GPU computing with multiple target platforms in mind as [https://docs.google.com/presentation/d/14FHNwZ4eZ222xZEqs1pAtygTcz3Cy6GYLXlk8ANyxnc/edit?usp=sharing described in these slides and videos].
 
* Move forward on a set of code to do GPU computing with multiple target platforms in mind as [https://docs.google.com/presentation/d/14FHNwZ4eZ222xZEqs1pAtygTcz3Cy6GYLXlk8ANyxnc/edit?usp=sharing described in these slides and videos].
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|
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! style="text-align: left; width:27%" | Approach, Plan
 
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* Identify use cases that would be good for this approach
 
* Identify use cases that would be good for this approach
 
** Visualization
 
** Visualization
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* Evaluate build and deployment issues on various platforms
 
* Evaluate build and deployment issues on various platforms
 
* Test code performance on various platforms
 
* Test code performance on various platforms
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* Implement one or more sample image algorithms and compare with CPU implementation
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** Performance
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** Ease of development, readability, maintainability...
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** Scalability limits
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|
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* Discussed motivation and implementation options with many members of the community
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** Positive feedback on goals and opportunity
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** Potential use cases identified as possible points of collaboration (Sandy Wells, Terry Yoo, Dan Blezek, Curt Lisle, Sudhanshu Semwal...)
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** Additional motivation from IGT projects
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*** Real-time brain shift visualization for AMIGO neurosurgery
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*** Interactive segmentation/volume rendering for SlicerHeart and other applications
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* Code and architecture review
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* Experimental compositing options (see sphere-subtract image above)
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|}
  
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==Background and References==
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<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data -->
  
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! style="text-align: left; width:27%" | Progress
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* A  [https://docs.google.com/document/d/1-4Up_Shq6oFTGhwXIF5DuiXUYsdIMlAC1oK7eNHWP_o/edit?usp=sharing document describing some considerations on CommonGL]
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*
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* Prototype code
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** VTK Classes to support GLSL programming: https://github.com/pieper/Slicer/tree/add-commongl
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**Scripted module for rendering: https://github.com/pieper/CommonGL/tree/master/ShaderComputation
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* [https://www.youtube.com/watch?v=_0K9vxgdwUU Video showing CT + MR compositing, nonlinear spatial transform, and interactive positioning of geometric objects]
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* [https://www.youtube.com/watch?v=MYx8xZstnPE Video showing smart editor tool implemented with GLSL]
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* Babybrain collaboration (Boston XTK/SliceDrop/Children's Hospital, Nicolas, Steve, Rudolph, Daniel...)
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** VJS https://github.com/FNNDSC/vjs
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** WebGL ray cast demo: http://fnndsc.github.io/vjs/#shaders_raycasting_adibrain
  
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|}
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=== Other WebGL / GLSL references ===
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* Image processing in WebGL: https://www.gitbook.com/book/projectseptemberinc/gl-react/details
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* Fun GLSL demos
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** http://glslsandbox.com
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** http://shadertoy.com
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* WebGL graphics library: http://threejs.org

Latest revision as of 16:00, 8 January 2016

Home < 2016 Winter Project Week < Projects < CommonGL

Key Investigators

  • Steve Pieper, Isomics, Inc.
  • Jim Miller, GE
  • Others are welcome to join!

Project Description

Objective Approach and Plan Progress and Next Steps
  • Identify use cases that would be good for this approach
    • Visualization
    • Segmentation
    • Registration
  • Code review and refinement of Slicer OpenGL shader/texture classes
  • Evaluate build and deployment issues on various platforms
  • Test code performance on various platforms
  • Implement one or more sample image algorithms and compare with CPU implementation
    • Performance
    • Ease of development, readability, maintainability...
    • Scalability limits
  • Discussed motivation and implementation options with many members of the community
    • Positive feedback on goals and opportunity
    • Potential use cases identified as possible points of collaboration (Sandy Wells, Terry Yoo, Dan Blezek, Curt Lisle, Sudhanshu Semwal...)
    • Additional motivation from IGT projects
      • Real-time brain shift visualization for AMIGO neurosurgery
      • Interactive segmentation/volume rendering for SlicerHeart and other applications
  • Code and architecture review
  • Experimental compositing options (see sphere-subtract image above)

Background and References

Other WebGL / GLSL references

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