A coupled implicit shape-based deformable model for segmentation of MR images

2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Volumn , Issue , 2008, Pages 651-656

  Farzinfar, Mahshid ^a   Teoh, Eam Khwang ^a   Xue, Zhong ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

Deformable model; Image segmentation; Level set; Statistical model

Indexed keywords

BRAIN IMAGES; CURVE EVOLUTIONS; DEFORMABLE MODEL; INPUT IMAGES; LEVEL SET; MEDICAL IMAGE SEGMENTATIONS; MR-IMAGES; OBJECT SHAPES; REGION-BASED; SEGMENTATION ALGORITHMS; SEGMENTATION RESULTS; SHAPE PRIORS; SHAPE-BASED; SHAPE-BASED DEFORMABLE MODELS; STATISTICAL MODEL; STATISTICAL SHAPE MODELS;

COMPUTER VISION; CONTROL THEORY; DEFORMATION; DIGITAL IMAGE STORAGE; EVOLUTIONARY ALGORITHMS; IMAGE SEGMENTATION; LEVEL MEASUREMENT; ROBOTICS;

IMAGE MATCHING;

EID: 64549106054     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICARCV.2008.4795594     Document Type: Conference Paper

References (12)

1. P. Taylor,"Invited review: computer aids for decision-making in diagnostic radiology-a literature review" Brit.J.Radiol, vol. 68, pp. 945-957, 1995.
2. M. Kass and A. Witkin and D. Terzopoulos,"Snakes: active contour models" IEEE Comput. Soc. Press, pp. 259-268, 1987.
3. S. Osher and J. A. Sethian, "Fronts Propagating with Curvature-Dependent Speed - Algorithms Based on Hamilton-Jacobi Formulations" Journal of Computational Physics,vol. 79, no. 1,pp. 12-49, 1988.
4. V. Caselles and R. Kimmel and G. Sapiro, "Geodesic Active Contours" International Journal of Computer Vision,vol. 22, no. 2,pp. 694-699, 1997.
5. R. Malladi and J. A. Sethian and B. C. Vemuri, "Shape modeling with front propagation: a level set approach" Transactions on Pattern Analysis and Machine Intelligence,vol. 17, no. 2,pp. 158-175, 1995.
6. A. Tsai and A. Yezzi and A. Willsky, "A Curve Evolution Approach to Medical Image Magnification via the Mumford-Shah Functional" Medical Image Computing and Computer-Assisted Intervention MICCAI,pp. 246-255, 2000.
7. T. F. Chan and L. A. Vese, "Active contours without edges" Image Processing, IEEE Transactions on,vol. 10, no. 2,pp. 266-277, 2001.
8. L. A. Vese and T. F. Chan, "A multiphase level set framework for image segmentation using the mumford and shah model" International Journal of Computer Vision,vol. 50,pp. 271-293, 2002.
9. M. E. Leventon and W. E. L Grimson and O. Faugeras, "Statistical shape influence in geodesic active contours" Biomedical Imaging, 2002. 5th IEEE EMBS International Summer School on,2002.
10. A. Tsai and A. Yezzi and W. Wells and C. Tempany and D. Tucker and A. Fan and W. E. Grimson and A. Willsky, "A shape-based approach to the segmentation of medical imagery using level sets" Ieee Transactions on Medical Imaging,vol. 22, no. 2,pp. 137-154, 2003.
11. Y. M. Chen, "Using prior shapes in geometric active contours in a variational framework" International Journal of Cmputer Vision,vol. 50, no. 3,pp. 315-328, 2002.
12. M. Rousson and N. Paragios, "Shape Priors for Level Set Representations" Computer Vision ECCV,pp. 416-418, 2002.