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

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=Misc notes=
 
=Misc notes=
[http://www.google.com/notebook/public/08097279861700679221/BDQdBIgoQ1czeruoi?hl=en Notebook]
 
 
#[[Getting Cuda and CMake to run together]]
 
#[[Getting Cuda and CMake to run together]]
 
#Check out the [http://svn.orxonox.net/subprojects/volrenSample samplecode] for a Cuda and CMake project for Volume Rendering
 
#Check out the [http://svn.orxonox.net/subprojects/volrenSample samplecode] for a Cuda and CMake project for Volume Rendering

Revision as of 14:01, 12 December 2007

Home < Slicer-IGT < GPU-IGT

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

Timeline/Progress

  1. Cuda Integration into Slicer/CMake works (on Kubuntu)
  2. NH will write paper on IV-CUDA rendering for Journal
  3. Hata suggested publication of ITK-CUDA registration in Insight Journal (Feb)
  4. Benjamin will have short summery as of March 15 for MICCAI.
  5. Benjamin will finish his master by May 15th.
  1. Pointer to Google Notebook of the Work Progress of Ben:

Misc notes

  1. Getting Cuda and CMake to run together
  2. Check out the samplecode for a Cuda and CMake project for Volume Rendering

Resources

A list of interesting resources for building and using CUDA within Slicer and VTK:

  1. CUDA Main page: http://developer.nvidia.com/object/cuda.html
  2. CMake-Cuda: http://www.sci.utah.edu/~abe/FindCuda.html
  3. CUDA lecture by David Kirk @ Univ. of Illinois: http://courses.ece.uiuc.edu/ece498/al1/Syllabus.html

Volume Rendering Techniques

  1. Nagoya Software MIP
    1. Source: Volumerenderer.h
  2. Osirix approach