Generation of a graph representation from three-dimensional skeletons of the liver vasculature

Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

Volumn , Issue , 2009, Pages

  Chen, Yufei ^a,b   Laura, Cristina Oyarzun ^a   Drechsler, Klaus ^a  

^a FRAUNHOFER IGD   (Germany)

^b TONGJI UNIVERSITY   (China)

Author keywords

3D skeletonization; Graph representation; Liver vessel tree

Indexed keywords

DATA SETS; GRAPH REPRESENTATION; GRAPH-BASED TECHNIQUES; LIVER CT; LIVER DISEASE; LIVER SURGERY; LIVER VESSELS; PRE-PROCESSING METHOD; SKELETAL GRAPH; SKELETONIZATION; THINNING ALGORITHM; TREE GENERATION; VASCULATURE;

BIOMEDICAL ENGINEERING; DIAGNOSIS; LIVER;

THREE DIMENSIONAL;

EID: 74049145414     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BMEI.2009.5304971     Document Type: Conference Paper

References (16)

1. Y. Masutani, K. Uozumi, M. Akahane and K. Ohtomo, "Liver CT Image Processing: A Short Introduce of the Technical Elements", European Journal of Radiology, Elsevier, vol. 58, pp. 246-251, 2006.
2. D. Selle, B. Preim, A. Schenk and H. O. Peitgen, "Analysis of Vasculature for Liver Surgical Planning", Medical Imaging, IEEE Transactions, vol. 21, pp. 1344-1357, 2002.
3. T. G. Pock, Robust Segmentation of Tubular Structures in 3D Volume Data, Master thesis in Graz University of Technology, 2004.
4. J. Tschirren, G. Mclennan, K. Palágyi, E. A. Hoffman and M. Sonka, "Matching and Anatomical Labeling of Human Airway Tree", Medical Imaging, IEEE Transactions, Davis, CA, USA, vol. 24, pp. 1540-1547, 2005.
5. M. A. U. Khan, P. T. H. Truc, R. Bahadur and S. Javed, "Vessel Enhancement Using Directional Features", Information Technology Journal, Asian Network for Scientific Information, vol. 6, pp. 851-857, 2007.
6. O.C. Eidheim, L. Aurdal, T. Omholt-Jensen, T. Mala and B. Edwin, "Segmentation of Liver Vessels as Seen in MR and CT Images", Computer Assisted Radiology and Surgery, Proc. of the 18th International Congress Series, Elsevier, vol. 1268, pp. 201-206, 2004.
7. R. Beichel, T. Pock, C. Janko, R. Zotter, B. Reitinger, A. Bornik, K. Palágyi, E. Sorantin, G. Werkgartner, H. Bischof, and M. Sonka, "Liver Segment Approximation in CT Data for Surgical Resection Planning", Medical Imaging 2004: Image Processing, Proc. SPIE, vol. 5370, pp. 1435-1446, 2004.
8. H. Blum, "A Transformation for Extracting New Descriptors of Shape", In Models for the Perception of Speech and Visual Forms, MIT Press, Cambridge, MA, pp. 362-380, 1967.
9. W. Choi, K. Lam, and W. Siu, "Extraction of the Euclidean Skeleton Based on a Connectivity Criterion", Pattern Recognition, Elsevier Science, vol. 36, pp. 721-729, 2003.
10. L. J. Latecki, Q. Li, X. Bai and W. Liu, "Skeletonization Using SSM of the Distance Transform", ICIP International Conference on Image Processing, IEEE, San Antonio, Texas, USA, vol. 5, pp.349-352, 2007.
11. M. Ilg, and R. Ogniewicz, "The Application of Voronoi Skeletons to Perceptual Grouping in Line Images", 11th IAPR International Conference on Pattern Recognition, Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings, vol. 30, pp. 382-385, 1992.
12. Y. Fridman, S. M. Pizer, S. Aylward and E. Bullitt, "Segmenting 3D Branching Tubular Structures Using Cores", Medical Image Computing and Computer-Assisted Intervention, Springer Berlin/Heidelberg, vol. 2879, pp. 570-577, 2003.
13. N. Flasque, M. Desvignes, J. Constans and M. Revenu, "Accurate Detection of 3D Tubular Tree Structures", Image Processing, Proc. SPIE, Vancouver, BC, Canada, vol. 3, pp. 436-10, 2000.
14. K. Palágyi, J. Tschirren, and M. Sonka, "Quantitative Analysis of Intrathoracic Airway Trees: Methods and Validation", Information Processing in Medical Imaging LNCS, Springer Berlin/Heidelberg, vol. 2732, pp. 222-233, 2003.
15. P. Soille, Morphological Image Analysis: Principles and Applications, Springer-Verlag, Heidelberg, 2003.
16. T. Lee, R. L. Kashyap, and C. Chu, "Building Skeleton Models via 3-D Medical Surface/Axis Thinning Algorithms", Graphical Models and Image Processing, Academic Press, Inc. Orlando, FL, USA, vol. 56, pp. 462-478, 1994.