Using region-of-interest based finite element modelling for brain-surgery simulation
| Autor: | Kim Vang Hansen, Ole Vilhelm Larsen |
|---|---|
| Rok vydání: | 1998 |
| Předmět: |
Dynamic simulation
medicine.medical_specialty Quantitative Biology::Neurons and Cognition Computer science Finite element limit analysis medicine Smoothed finite element method Context (language use) Surgery simulator Mixed finite element method Finite element method Extended finite element method Surgery |
| Zdroj: | Medical Image Computing and Computer-Assisted Intervention — MICCAI’98 ISBN: 9783540651369 MICCAI |
| Popis: | Brain surgery simulation requires a mathematical model of the geometric and elastic properties of the entire brain. To allow for realtime manipulation of the model it is necessary to differentiate the level of accuracy between different subparts of the brain model. A Finite Element Model (FEM) of the brain is presented capable of differentiating the spatial and temporal accuracy in different parts of the model. In a user defined region-of-interest around the surgical target point a dynamic FEM model is used to give high accuracy. The remaining parts of the brain is modelled by a static FEM model having less accuracy. The two models are integrated into one model for the entire brain using Condensation. In the context of our early version of a brain surgery simulator we have tested the condensed model versus a full dynamic model of the brain. Promising results concerning spatial error and execution time are shown. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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