Difference between revisions of "Slicer-IGT/GPU-IGT"
From NAMIC Wiki
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*To integrate fast GPU-accerelated image processing in NA-MIC toolkit | *To integrate fast GPU-accerelated image processing in NA-MIC toolkit | ||
*To perform 4D MRI or US guided operation assisted by GPU-accelerated Slicer | *To perform 4D MRI or US guided operation assisted by GPU-accelerated Slicer | ||
| − | *Create a Wiki Page for [[ | + | *Create a Wiki Page for [[Volume Rendering With Cuda]] |
=People involved= | =People involved= | ||
Revision as of 16:32, 17 December 2007
Home < Slicer-IGT < GPU-IGTContents
Objective
- To integrate fast GPU-accerelated image processing in NA-MIC toolkit
- To perform 4D MRI or US guided operation assisted by GPU-accelerated Slicer
- Create a Wiki Page for Volume Rendering With Cuda
People involved
- Nobuhiko Hata (BWH)
- Benjamin Grauer (BWH, ETH)
- Nicholas Herlambang (Tokyo University)
- Wong Ki Jeong (U Utah)
Events
- T-con Nov 27, 2007
- Dec 11, 2007 at 930am Boston time
- Salt-Lake city NA-MIC AHM, Jan 11-, 2008
Timeline/Progress
- Cuda Integration into Slicer/CMake works (on Kubuntu)
- NH will write paper on IV-CUDA rendering for Journal
- Hata suggested publication of ITK-CUDA registration in Insight Journal (Feb)
- Benjamin will have short summery as of March 15 for MICCAI.
- Benjamin will finish his master by May 15th.
- Pointer to Google Notebook of the Work Progress of Ben: Notebook
Misc notes
- Link to Slicer3:Volume_Rendering
- Getting Cuda and CMake to run together
- Check out the samplecode for a Cuda and CMake project for Volume Rendering
Cuda Examples
Resources
A list of interesting resources for building and using CUDA within Slicer and VTK:
- CUDA Main page: http://developer.nvidia.com/object/cuda.html
- CMake-Cuda: http://www.sci.utah.edu/~abe/FindCuda.html
- CUDA lecture by David Kirk @ Univ. of Illinois: http://courses.ece.uiuc.edu/ece498/al1/Syllabus.html
