Difference between revisions of "Slicer-IGT/GPU-IGT/112707"

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# Introduction of members of this project
 
# Introduction of members of this project
 
* Nicholas: student from Tokyo  
 
* Nicholas: student from Tokyo  
* Benjamin: student from ETH, be at SPL for 6 mo. till May 31, 2007. Experience in golfing simulator, histoscopy simulator, open-source game software. His project here is GPU accerelated Slicer for 4D IGT.  
+
* Benjamin: student from ETH, be at SPL for 6 mo. till May 31, 2007. Experience in golfing simulator, histoscopy simulator, open-source game software. His project here is GPU accelerated Slicer for 4D IGT.  
  
  
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* VTK VolumePro as part of volume redering
 
* VTK VolumePro as part of volume redering
 
* ITK parallelized process  
 
* ITK parallelized process  
* [Action items] Mid-term goal for Nicholas is to port his rigid and non-rigid regstration to ITK
+
* [Action items, Nichoals] Mid-term goal for Nicholas is to port his rigid and non-rigid regstration to ITK
* [Action items] Contact Utah team hear how exactly they implement their ITK.
+
* [Action items, Nicholas] Contact Utah team hear how exactly they implement their ITK.
 +
 
 +
# Volume rendering
 +
* CUDA accelerated volume rendering
 +
* x15 - 20 improvement
 +
* comparison to other people's CG-based volume rendering [[media:SIGGRAPH-GPU.pdf]]
 +
* [Action items, Benjamin] port CUDA-based volume rendering to vtk volume rendering classes, and then to Slicer
 +
* [Action items, Benjamin] succeed Nicholas' itk-cuda-rigid non-rigid regstration and port them to Slicer in the context of MRg cardiac ablation

Revision as of 15:16, 27 November 2007

Home < Slicer-IGT < GPU-IGT < 112707
  1. Introduction of members of this project
  • Nicholas: student from Tokyo
  • Benjamin: student from ETH, be at SPL for 6 mo. till May 31, 2007. Experience in golfing simulator, histoscopy simulator, open-source game software. His project here is GPU accelerated Slicer for 4D IGT.


  1. Nicholas update on his CUDA project
  • Rigid and non-rigid registration using CUDA using Nvidia 8800 GTK (350GFlps) compatible with CUDA platform.
  • Rigid registration (Japanese cas paper) *******to be filled by Nicholas ****** x12
  • Non-rigid registration based on (Rueckert et al.). achieved x10-x20
  1. Tool kit used
  • CUDA calculator
  • 8800GTX is CUDA 1.0 compatible
  • XXXX is CUDA 1.1 compatible which comes with Atomic function to control cuncurrent access to memoery from multiple thread
  1. Extension to ITK
  • CMake turn on/off #DEFINE
  • VTK VolumePro as part of volume redering
  • ITK parallelized process
  • [Action items, Nichoals] Mid-term goal for Nicholas is to port his rigid and non-rigid regstration to ITK
  • [Action items, Nicholas] Contact Utah team hear how exactly they implement their ITK.
  1. Volume rendering
  • CUDA accelerated volume rendering
  • x15 - 20 improvement
  • comparison to other people's CG-based volume rendering media:SIGGRAPH-GPU.pdf
  • [Action items, Benjamin] port CUDA-based volume rendering to vtk volume rendering classes, and then to Slicer
  • [Action items, Benjamin] succeed Nicholas' itk-cuda-rigid non-rigid regstration and port them to Slicer in the context of MRg cardiac ablation