Skip to main content
Article thumbnail
Location of Repository

Author manuscript, published in "Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009 (2009)" Mesh generation from 3D multi-material images ⋆

By Dobrina Boltcheva, Mariette Yvinec, Jean-daniel Boissonnat and Geometrica Inria Sophia Antipolis

Abstract

Abstract. The problem of generating realistic computer models of objects represented by 3D segmented images is important in many biomedical applications. Labelled 3D images impose particular challenges for meshing algorithms because multi-material junctions form features such as surface pacthes, edges and corners which need to be preserved into the output mesh. In this paper, we propose a feature preserving Delaunay refinement algorithm which can be used to generate high-quality tetrahedral meshes from segmented images. The idea is to explicitly sample corners and edges from the input image and to constrain the Delaunay refinement algorithm to preserve these features in addition to the surface patches. Our experimental results on segmented medical images have shown that, within a few seconds, the algorithm outputs a tetrahedral mesh in which each material is represented as a consistent submesh without gaps and overlaps. The optimization property of the Delaunay triangulation makes these meshes suitable for the purpose of realistic visualization or finite element simulations.

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.186.5251
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://hal.inria.fr/docs/00/42... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.