Slicer-IGT/GPU-IGT

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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.
  • Pointer to Google Notebook of the Work Progress of Ben: Notebook

Misc notes

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

Cuda Examples

  1. Cuda Lecture

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