Tetrahedral mesh generation from volumetric binary and gray-scale images

  • Authors:
  • Qianqian Fang;David A. Boas

  • Affiliations:
  • Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA;Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA

  • Venue:
  • ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
  • Year:
  • 2009

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Abstract

We report a general purpose mesh genretor for creating finite-element surface or volumetric mesh from 3D binary or gray-scale medical images. This toolbox incorporates a number of exisiting free mesh processing utilities and enables researchers to perform a range of mesh processing tasks for image-based mesh generation, including raw image processing, surface mesh extraction, surface re-sampling, and multi-scale/adaptive tetrahedral mesh generation open-surfaces and sub-region labeling. Atomic meshin utilities for each processing step can be accessed with simple interfaces, which can be streamlined or executed independently. The toolbox is compatible with Matlab or GNU Octave. We demonstrate the applications of this toolbox for meshing a range of challenging geometrics including complex vessel network, human brain and breast.