Abstract | ||
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Simulation of soft tissue deformation is a critical part of surgical simulation. An important method for this is finite element (FE) analysis. Models for FE analysis are typically derived by extraction of triangular surface meshes from CT or MRI image data. These meshes must fulfill requirements of accuracy, smoothness, compactness, and triangle quality. In this paper we propose new techniques for improving mesh triangle quality, based on the SurfaceNets method. Our results show that the meshes ... |
Year | DOI | Venue |
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2000 | 10.1007/978-3-540-40899-4_83 | MICCAI |
Keywords | Field | DocType |
surface extraction,visualization,surfacenets,improving triangle mesh quality,surgical simulation,tissue deformation modelling,finite element,soft tissue,triangle mesh | Computer vision,Polygon mesh,Visualization,Computer science,Finite element method,Compact space,Computational science,Artificial intelligence,Smoothness,Soft tissue deformation,Triangle mesh | Conference |
ISBN | Citations | PageRank |
3-540-41189-5 | 12 | 0.80 |
References | Authors | |
9 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
de bruin vos | 1 | 12 | 0.80 |
P.W. de Bruin | 2 | 43 | 4.88 |
Frans Vos | 3 | 106 | 11.97 |
Frits H. Post | 4 | 1389 | 111.99 |
sarah f friskengibson | 5 | 12 | 0.80 |
Albert M. Vossepoel | 6 | 126 | 18.43 |