Difference between revisions of "GPU accelerated FEM for simulation and segmentation"
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We are developing fast FEM-based mesh deformation algos for interactive simulation and segmentation. | We are developing fast FEM-based mesh deformation algos for interactive simulation and segmentation. | ||
The goal in this project week is summarized as | The goal in this project week is summarized as | ||
− | * | + | * integrate linear FEM-based deformation algo into the slicer |
* perform simulation on specific data | * perform simulation on specific data | ||
− | * | + | * implement GPU-based acceleration for real-time deformation |
</div> | </div> | ||
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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. | |
+ | 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. | ||
+ | I will also try GPU-based acceleration by modifying the linear equation solver using CUBLAS library. | ||
</div> | </div> | ||
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<h3>Progress</h3> | <h3>Progress</h3> | ||
− | + | ||
</div> | </div> | ||
</div> | </div> |
Revision as of 18:41, 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
First, I will integrate liner FEM solver(C++ source) to 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. I will also try GPU-based acceleration by modifying the linear equation solver using CUBLAS library.
Progress