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...
