GPU accelerated FEM for simulation and segmentation
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Key Investigators
- Megumi Nakao and Nobuhiko Hata
Objective
We are developing a fast FEM-based mesh deformation library 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.
- make tetrahedral meshes from medical images and set up physical conditions. Other mesh formats, points and surface models will be probablly accepted.
- evaluate some deformation results qualitatively and improve the simulation.
- try GPU-based acceleration by modifying the linear equation solver using CUBLAS library.
Progress
I will work in Wendnesday, Thursday afternoon and Friday.
References
- M. Nakao and K. Minato, "Physics-based Interactive Volume Manipulation for Sharing Surgical Process", IEEE Trans. on Information Technology in Biomedicine, 2009. (To appear)
- M. Nakao, T. Kuroda, M. Komori, H. Oyama, K. Minato and T. Takahashi, "Transferring Bioelasticity Knowledge through Haptic Interaction", IEEE Multimedia, Vol. 13, No. 3, pp.50-60, Jul. 2006.
- My homepage: http://kotaro.naist.jp/~meg/eindex.html