DocumentCode
3224022
Title
3D Reconstruction of CT Images Based on Isosurface Construction
Author
Hongjian Wang ; Fen Luo ; Jianshan Jiang
Author_Institution
Chongqing Engeering Technol. Res. Center for Inf. Manage. in Dev., Chongqing Technol. & Bus. Univ., Chongqing
Volume
2
fYear
2008
fDate
20-22 Oct. 2008
Firstpage
55
Lastpage
59
Abstract
With development of modern medical imaging computer technology, the rapid prototyping manufacturing and 3D visualized medical accessory system reality were achieved based on CT. Aiming at the key technology of 3D reconstruction from medical CT images, a 3D medical imaging surface reconstruction scheme was proposed, which integrated segmentation with marching cubes (MC) algorithm. Firstly, the shortage of standard MC algorithm was analyzed that caused huge consumption of operation and was hard to work out ,then it indicated the special MC(SMC) algorithm to make 3D reconstruction from medical spiral CT images. Finally, the experiment of two algorithms was accomplished with Visual C++. The experimental data of tooth showed that the SMC could reduce unnecessary cube on the calculation and simplify the reconstruction methods.
Keywords
C++ language; computerised tomography; data visualisation; image reconstruction; image segmentation; medical image processing; surface reconstruction; 3D image reconstruction; 3D medical imaging surface reconstruction scheme; 3D visualized medical accessory system reality; Visual C++; integrated segmentation; isosurface construction; marching cubes algorithm; medical CT images; medical imaging computer technology; medical spiral CT images; rapid prototyping manufacturing; Biomedical imaging; Computed tomography; Computer aided manufacturing; Computer integrated manufacturing; Image reconstruction; Image segmentation; Isosurfaces; Prototypes; Surface reconstruction; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location
Hunan
Print_ISBN
978-0-7695-3357-5
Type
conf
DOI
10.1109/ICICTA.2008.81
Filename
4659721
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