Abstract
This paper presents a new method for simulating the deformation of organ models by using a neural network. The proposed method is based on the idea proposed by Chen et al. that a deformed model can be estimated from the superposition of basic deformation modes. The neural network finds a relationship between external forces and the models deformed by the forces. The experimental results show that the trained network can achieve a real-time simulation while keeping the acceptable accuracy compared with the nonlinear FEM computation.
Original language | English |
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Pages (from-to) | 742-749 |
Number of pages | 8 |
Journal | Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention |
Volume | 11 |
Issue number | Pt 2 |
Publication status | Published - Jan 1 2008 |
All Science Journal Classification (ASJC) codes
- Medicine(all)