Slicer-IGT/GPU-IGT

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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

Progress

  1. 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:

  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 MTI
    1. Source: Volumerenderer.h
  2. Osirix approach
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