Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
The quickhull algorithm for convex hulls
ACM Transactions on Mathematical Software (TOMS)
Advances in Engineering Software
Computational analysis of mesh simplification using global error
Computational Geometry: Theory and Applications
Sliver removal by lattice refinement
Proceedings of the twenty-second annual symposium on Computational geometry
Generation of computational surface meshes of STL models
Journal of Computational and Applied Mathematics - Special issue on computational and mathematical methods in science and engineering (CMMSE-2004)
Simulation of Multiphysics Multiscale Systems: Introduction to the ICCS'2007 Workshop
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Mechanism and Localization of Wall Failure During Abdominal Aortic Aneurysm Formation
ISBMS '08 Proceedings of the 4th international symposium on Biomedical Simulation
A multiphysics simulation of a healthy and a diseased abdominal aorta
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
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Manual surface reconstruction is still an everyday practice in applications involving complex irregular domains, necessary for modeling biological systems. Rapid development of biomedical imaging and simulation, however, requires automatic computations involving frequent re-meshing of (r)evolving domains that human-driven generation can simply no longer deliver. This bottleneck hinders the development of many applications of high social importance, like computational physiology or computer aided medicine. While many commercial packages offer mesh generation options, these depend on high quality input, which is rarely available when depending on image segmentation results. We propose a simple approach to automatically recover a high quality surface mesh from low-quality, oversampled and possibly non-consistent inputs that are often obtained via 3-D acquisition systems. As opposed to the majority of the established meshing techniques, our procedure is easy to implement and very robust against damaged or partially incomplete, inconsistent or discontinuous inputs.