DocumentCode
2751049
Title
An Improved Marching Cubes Method for Surface Reconstruction of Volume Data
Author
Jin, Jing ; Wang, Qiang ; Shen, Yi ; Hao, Jiasheng
Author_Institution
Dept. of Control Sci. & Eng., Harbin Inst. of Technol.
Volume
2
fYear
0
fDate
0-0 0
Firstpage
10454
Lastpage
10457
Abstract
Applied to the surface rendering, the marching cubes method shows a great promise for surface extraction by using the surface configurations of a cube. But the marching cubes method has some disadvantages, that come from the use of surface configurations of cubes and further restrict the application of this method, including wrong surface production and hole generation. In the paper, we re-assign zero to vertices in the surface and one to vertices on the surface, and then improve the marching cubes algorithm by redefining the configurations for the fifteen cases of configurations proposed in marching cubes method. To evaluate the performance of the improved marching cubes method, we reconstructed the surface for MRI volume data using the improved method along with the marching cubes method. The experimental results show that the improved method can remove the disadvantages mentioned above and obtain a satisfying reconstructed surface
Keywords
image reconstruction; magnetic resonance imaging; rendering (computer graphics); solid modelling; surface reconstruction; MRI volume data; marching cubes algorithm; surface extraction; surface reconstruction; surface rendering; volume rendering; Biomedical imaging; Data engineering; Data mining; Image reconstruction; Magnetic resonance imaging; Partitioning algorithms; Production; Rendering (computer graphics); Surface reconstruction; Two dimensional displays; Marching Cubes Algorithm; Surface Reconstruction; Surface Rendering; Volume Rendering;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1714052
Filename
1714052
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