Unsupervised iterative segmentation and recognition of anatomic structures in medical imagery using second-order B-spline descriptors and geometric quasi-invariants

Proceedings - 3rd IEEE Symposium on BioInformatics and BioEngineering, BIBE 2003

Volumn , Issue , 2003, Pages 231-237

  El Doker, Tarek A ^a  

^a HONEYWELL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BIOINFORMATICS; COMPUTATIONAL COMPLEXITY; DEFORMATION; EDGE DETECTION; EFFICIENCY; GEOMETRY; IMAGE CODING; INTERPOLATION; ITERATIVE METHODS; MEDICAL IMAGING; SHIP PROPELLERS; TEMPLATE MATCHING;

ANATOMIC STRUCTURES; DEFORMABLE MODELING; DEFORMABLE TEMPLATES; EDGE DETECTION ALGORITHMS; GEOMETRIC DEFORMABLE MODELS; ITERATIVE SEGMENTATION; SENSITIVITY TO INITIAL CONDITIONS; USER INTERACTION;

IMAGE MATCHING;

EID: 84942693916     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2003.1188956     Document Type: Conference Paper

References (16)

1. M. Kass, A. Witkin and D. Terzopoulos, "Snakes: Active Contour Models ," International Journal on Computer Vision, Vol. 1, 1987.
2. T. A. El Doker and P. A. Mlsna, "Efficient Unsupervised Estimation of Second-Order B-Spline Contour Descriptors," Proc. of the 45th IEEE Midwest Symposium on Circuits and Systems, August, 2002.
3. A. Bovik, editor, Handbook of Image and Video Processing, San Diego: Academic Press, 2000.
4. T. McInerney and D. Terzopoulos, "Deformable Models in Medical Image Analysis: A Survey," Medical Image Analysis, 1(2), 1996, 91-108.
5. T. McInerney and D. Terzopoulos, "Topology Adaptive Deformable Surfaces for Medical Image Volume Segmentation," IEEE Trans. on Medical Imaging, 1999.
6. T. McInerney and D. Terzopoulos, "Topologically Adaptive Snakes," Proc. of the 5th IEEE Int. Conf. on Computer Vision, June, 1995.
7. P. Brigger, J. Hoeg and M. Unser, "B-Spline Snakes: A Flexible Tool for Parametric Contour Detection," IEEE Trans. on Image Processing, Vol 9, No. 9, September 2000.
8. T. A. El Doker and P. A. Mlsna, "Efficient Boundary Approximation Using Adaptive Smoothing and Second-Order B-Splines," IEEE Southwest Symposium on Image Analysis and Interpretation, April 2002.
9. C. Xu and J. L. Prince, "Snakes, Shapes and Gradient Vector Flow," IEEE Trans. on Image Processing, Vol. 7, No. 3, March 1998.
10. T. O. Binford and T. S. Levitt, "Quasi-invariants: Theory and Exploitation ," Proceedings of DARPA Image Understanding Workshop , pages 819-829, 1993.
11. M. A. T. Figueiredo, J. M. N. Leitao and A. K. Jain, "Unsupervised Contour Representation and Estimation Using B-splines and A Minimum Description Length Criterion ," IEEE Transactions on Image Processing, Vol. 9, Issue 6 , June 2000.
12. P. Gros, O. Bournez and E. Boyer, "Using Local Planar Geometric Invariants to Match and Model Images of Line Segments," Computer Vision and Image Understanding, Number 2 Volume 69, 135-155, 1998.
13. S. Z. Li and J. Lu, "Modeling Bayesian Estimation for Deformable Contours," Proc. of 7th IEEE International Conference on Computer Vision, September 1999.
14. Z. Lei, D. Keren, and D. Cooper, "Computationally Fast Bayesian Recognition of Complex Objects Based on Mutual Algebraic Invariants," Proc. of IEEE International Conference on Image Processing, October 1995.
15. Z. Lei, D. Keren, and D. Cooper, "Dynamic Deformable Models for 3D MRI Heart Segmentation, " Proc. of SPIE Medical Imaging 2002, February, 2002.
16. I. Bankman, ed., "Handbook of Medical Imaging, " Academic Press, San Diego, CA, 2002.