Browse > Article

Contour based Algorithms for Generating 3D Models from CT Images  

류재헌 (광주과학기술원 기전공학과 CAD/CAM 연구실)
김현수 (광주과학기술원 기전공학과 CAD/CAM 연구실)
이관행 (광주과학기술원 CAD/CAM 연구실)
Publication Information
Abstract
Recently, medical imaging has taken interest on CAD based solution for anatomical part fabrication or finite element analysis of human body. In principle, contours representing object boundary are obtained through image processing techniques. Surface models are then approximated by a skinning method. For this, various methods should be applied to medical images and contours. The major bottleneck of the reconstruction is to remove shape inconsistency between contours and to generate the branching surface. In order to solve these problems, bi-directional smoothing and the composite contour generation method are proposed. Bi-directional smoothing has advantage of removing the shape inconsistency between contours and minimizing shrinkage effect with a large number of iterations. The composite contour by the proposed method ensures smooth transition in branching region.
Keywords
medical images; biomedical modeling; hi-directional smoothing; branching surface generation; femur;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Chua, C. K., Chou, S. M., Ng, W. S., Chow, K. Y., Aung, S. T. and Seah, C. S., 'An integrated experimental approach link a laser digitiser, a CAD/CAM system and a rapid prototyping system for biomedical applications,' International Journal of Advanced Manufacturing Technology, Vol. 14, pp. 110-115, 1998   DOI   ScienceOn
2 Eberly, D., Ridges in image and Data analysis, Kluwe Academi Publishers, 1996
3 Atkins, M. S. and Mackiewich, B. T., 'Fully automatic segmentation of the brain in MRI,' IEEE Transaction on Medical Imaging, Vol. 7, No. 1, pp. 98-107,1998   DOI   ScienceOn
4 Zhu, Y. and Yan, H., 'Computerized tumor boundary detection using a Hopfield neural network,' IEEE Transaction on Medical Imaging, Vol. 16, No.1, pp. 55-67,1997   DOI   ScienceOn
5 Meyers D., Reconstruction of surfaces from planar contours, Ph. D Dissertation, University of Washington, 1994
6 Ekoule, A. B., Peyrin, F. C. and Odet, C. L., 'A triangulation algorithm .from arbitrary shaped multiple planar contours,' ACM Transaction on Graphics, Vol. 10, No.2, pp. 182-199, 1992   DOI
7 Marsan, A. L. and Dutta, D., 'Computational techniques for automatically titling and skinning branched objects,' Computers & Graphics, Vol. 23, No.1, pp. 111-126, 1999   DOI   ScienceOn
8 Fujimura, K., 'Shape reconstruction from contours using isotopic deformation,' Graphical Models and Image Processing, Vol. 61, pp. 127-147, 1999   DOI   ScienceOn
9 Cong, G. and Parvin, B., 'An algebraic solution to surface recovery from cross sectional contours,' Graphical Models and Image Processing, Vol. 61, pp. 222-243, 1999   DOI   ScienceOn
10 Boissonnat, J. D., Shape reconstruction from planar cross sections 1988, Computer Vision, Graphics, Image Processing; 44(1): 1-29   DOI
11 Lee, K. H., Ryu, J. H. and Kim, H. S., 'Contour based algorithms for generating 3D medical model,' Proceeding of Numerisation 3D, Scanning 2001, Paris, 2001