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

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* integrate a liner FEM solver(original C++ source) into the 3D slicer framework.
 
* 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.
 
* 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.   
+
* check the deformation resutls on some specific medical data.   
 
* try GPU-based acceleration by modifying the linear equation solver using CUBLAS library.
 
* try GPU-based acceleration by modifying the linear equation solver using CUBLAS library.
  

Revision as of 18:48, 22 June 2009

Home < GPU accelerated FEM for simulation and segmentation


Key Investigators

  • Megumi Nakao and Nobuhiko Hata

Objective

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

  • integrate linear FEM-based deformation algo into the slicer
  • perform deformation 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 medical data.
  • try GPU-based acceleration by modifying the linear equation solver using CUBLAS library.

Progress

Under writing...