Title :
A physically based mesh generation algorithm: applications in computational medicine
Author :
Weinstein, David M. ; Parker, Steven G. ; Johnson, Christopher R.
Author_Institution :
Dept. of Comput. Sci., Utah Univ., Salt Lake City, UT, USA
Abstract :
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
Keywords :
biomedical NMR; convergence of numerical methods; electrocardiography; electroencephalography; error analysis; image segmentation; iterative methods; medical image processing; medical signal processing; mesh generation; complex geometries; computational medicine; electrocardiography; electroencephalography; finite element mesh; geometrical constraints; human body; integration; iterations; large-scale bioelectric field problems; mesh convergence; near-optimal initial mesh; physical constraints; physically based mesh generation algorithm; segmented MR images; Acceleration; Bioelectric phenomena; Convergence; Finite element methods; Geometry; Humans; Image segmentation; Large-scale systems; Mesh generation; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.412183
