Difference between revisions of "GPU accelerated FEM for simulation and segmentation"

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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
First, I will integrate liner FEM solver(C++ source) to the 3D slicer framework.
+
* integrate a liner FEM solver(original C++ source) into the 3D slicer framework.
Secondly, I will check the simulation on some specific mesh models. I can create a tetrahedral mesh and set up physical conditions from medical volume data or some other mesh formats.
+
* create tetrahedral meshes from medical images and set up physical conditions. Other mesh formats will be probablly accepted.
I will also try GPU-based acceleration by modifying the linear equation solver using CUBLAS library.
+
* check the deformation resutls on some specific data.
 +
* try GPU-based acceleration by modifying the linear equation solver using CUBLAS library.
  
 
</div>
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
 
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Under writing...
  
 
</div>
 
</div>
 
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Revision as of 18:45, 22 June 2009

Home < GPU accelerated FEM for simulation and segmentation


Key Investigators

  • Megumi Nakao and Nobuhiko Hata

Objective

We are developing fast FEM-based mesh deformation algos for interactive simulation and segmentation. The goal in this project week is summarized as

  • integrate linear FEM-based deformation algo into the slicer
  • perform simulation on specific data
  • implement GPU-based acceleration for real-time deformation

Approach, Plan

  • integrate a liner FEM solver(original C++ source) into the 3D slicer framework.
  • create tetrahedral meshes from medical images and set up physical conditions. Other mesh formats will be probablly accepted.
  • check the deformation resutls on some specific data.
  • try GPU-based acceleration by modifying the linear equation solver using CUBLAS library.

Progress

Under writing...