DocumentCode :
2808499
Title :
Tetrahedral mesh generation from volumetric binary and grayscale images
Author :
Fang, Qianqian ; Boas, David A.
Author_Institution :
Martinos Center for Biomed. Imaging, Massachusetts Gen. Hosp., Charlestown, MA, USA
fYear :
2009
fDate :
June 28 2009-July 1 2009
Firstpage :
1142
Lastpage :
1145
Abstract :
We report a general purpose mesh generator for creating finite-element surface or volumetric mesh from 3D binary or gray-scale medical images. This toolbox incorporates a number of existing 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. We also implemented robust algorithms for meshing open-surfaces and sub-region labeling. Atomic meshing 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 geometries including complex vessel network, human brain and breast.
Keywords :
blood vessels; brain; medical image processing; mesh generation; 3D binary medical images; GNU Octave; Matlab; breast; complex vessel network; finite-element surface; gray-scale medical images; human brain; multiscale/adaptive tetrahedral mesh generation; raw image processing; surface mesh extraction; surface resampling; volumetric binary images; Biomedical imaging; Finite element methods; Geometry; Gray-scale; Humans; Image processing; Labeling; Mesh generation; Robustness; Streaming media; Finite element analysis; Medical image; Mesh generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
ISSN :
1945-7928
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2009.5193259
Filename :
5193259
Link To Document :
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