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