A physically based mesh generation algorithm: applications in computational medicine

A physically based mesh generation algorithm: applications in computational medicine

The process of generating a finite element mesh is accelerated by integrating physical and geometrical constraints into the initial mesh. By beginning with a near-optimal initial mesh, fewer iterations of refinement are needed to obtain mesh convergence. We apply this algorithm to large-scale bioele...

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Hauptverfasser: Weinstein, D.M., Parker, S.G., Johnson, C.R.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Acceleration
Bioelectric phenomena
Convergence
Finite element methods
Geometry
Humans
Image segmentation
Large-scale systems
Mesh generation
Testing
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Zusammenfassung:The process of generating a finite element mesh is accelerated by integrating physical and geometrical constraints into the initial mesh. By beginning with a near-optimal initial mesh, fewer iterations of refinement are needed to obtain mesh convergence. We apply this algorithm to large-scale bioelectric field problems involving the complex geometries of the human body. As an initial testbed, we have constructed an algorithm to generate meshes from segmented MR images.< >
DOI:10.1109/IEMBS.1994.412183