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

fYear

1994

Firstpage

718

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEMBS.1994.412183

Filename

412183