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 | ||
| + | |||
| + | =People involved= | ||
| + | Nobuhiko Hata (BWH) | ||
| + | Benjamin Grauer (BWH, ETH) | ||
| + | Nicholas Herlambang (Tokyo University) | ||
| + | Wong Ki Jeong (U Utah) | ||
=Events= | =Events= | ||
Revision as of 03:15, 8 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
People involved
Nobuhiko Hata (BWH) Benjamin Grauer (BWH, ETH) Nicholas Herlambang (Tokyo University) Wong Ki Jeong (U Utah)
Events
t-cons
Progress
- Cuda Integration into Slicer/CMake works (on Kubuntu)
Misc notes
Pointer to Google Notebook of the Work Progress of Ben: Notebook
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
