Carotid artery segmentation in 3D ultrasound images using a hybrid framework

2012 IEEE International Conference on Information and Automation, ICIA 2012

Volumn , Issue , 2012, Pages 698-703

  Wang, Xiaotong ^a   Zhang, Yaonan ^a  

^a NORTHEASTERN UNIVERSITY   (China)

Author keywords

3D Segmentation; Carotid Artery; Deformable Models; Marching Cubes; Region Growing

Indexed keywords

3D SEGMENTATION; CAROTID ARTERY; DEFORMABLE MODELS; MARCHING CUBE; REGION GROWING;

AUTOMATION; COMPUTERIZED TOMOGRAPHY; DEFORMATION; GEOMETRY; IMAGE SEGMENTATION; THREE DIMENSIONAL COMPUTER GRAPHICS; ULTRASONIC APPLICATIONS; ULTRASONICS;

THREE DIMENSIONAL;

EID: 84866625202     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICInfA.2012.6246766     Document Type: Conference Paper

References (14)

1. M. Kass, A. Witkin and D. Trerzopoulos, "Snakes: active contour Models," International Journal of Computer Vision, 1 (4), 321-331, 1988.
2. M. Worring, A. W. M.Smeulders, L. H. Staib and J. S. Duncan, "Parameterized feasible boundaries in gradient vector fields," Computer Vision and Image Understanding, 63 (1), 135-144,1996.
3. T. Cootes, C. Taylor, D. Cooper and J. Graham, "Active shape model - their training and application," Computer Vision, Graphics, and Image Process: Image Understanding 1 (61), 38-59, 1994.
4. T. N. Jones, and D. N. Metaxas, "Automated 3D segmentation using deformable models and fuzzy affinity," In: Duncan, J., Gindi, G. (Eds.), Lecture Notes in Computer Science, IPMI'97, vol. 1230.Springer, Berlin, pp. 113-126, 1997.
5. A. Chakraborty and J. S. Duncan, "Integration of boundary finding and region-based segmentation using game theory," In: Information Processing in Medical Imaging: Proceedings of the 14th International Conference (IPMI'95), Ile de Berder, France, June 1995.
6. T. H. Shu, B. G. Xu and Z. H. Hu, "Medical image segmentation based on region growing arithmetic", Microcomputer Information, 2008, 24(6-3): 284-285.
7. S. Q. Luo and G. H. Zhou, "Processing and analysis of medical image," Beijing: Science Press, 2003: 93.
8. th Annual Conference on Computer Graphics and Interactive Techniques, pp. 163-169, 1987.
9. C. Montani, R. Scateni and R. Scopigno, "Discretized marching cubes," In: Proceedings of the Visualization'94 Congress, pp. 281-287, 1994.
10. A. Dominique, C. Jocelyn, and A. Romain, "3D Snakes for the Segmentation of Buried Mines in 3D Acoustic Images," IEEE Transaction on Medical Imaging,2005,pp.443.
11. J. O. Lachaud and A. Montanvert, "Deformable Meshes with Automated Topology Changes for Coarse-to-Fine Three- Dimensional Surface Extraction," Medical Image Analysis, 3(2):187-207, 1998.
12. T. McInerney and D. Terzopoulos, "Topology Adaptive Deformable Surfaces for Medical Image Volume Segmentation," IEEE Trans. Medical Imaging,18(10):840-850, 1999.
13. C. Xu and J. L. Prince, "Snakes, Shapes and Gradient Vector Flow," IEEE Trans. Image Processing, 7(3):359-369, 1998.
14. J. Hu, A. Razdan, "Improved Geometric Constraints on Deformable Surface Model for Volumetric Segmentation," IEEE Proceedings of the Geometric Modeling and Processing,2004.