Segmentation by surface-to-image registration

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6144 I, Issue , 2006, Pages

  Xie, Zhiyong ^a   Tamez Pena, Jose ^b   Gieseg, Michael ^a   Liachenko, Serguei ^a   Dhamija, Shantanu ^a   Chiao, Ping ^a  

^a PFIZER INC   (United States)

^b VirtualScopics LLC   (United States)

Author keywords

Deformable Geometry; Magnetic Resonance; Orthopedic; Registration; Segmentation

Indexed keywords

ALGORITHMS; BONE; EDGE DETECTION; MAGNETIC RESONANCE IMAGING; ORTHOPEDICS;

DEFORMABLE GEOMETRY; REGISTRATION; SEGMENTATION;

IMAGE SEGMENTATION;

EID: 33745142225     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.649572     Document Type: Conference Paper

References (32)

1. F. Eckstein, M. Reiser, K.-H. Englmeier, and R. Putz, "In vivo morphometry and functional analysis of human articular cartilage with quantitative magnetic resonance imaging - from image to data, from data to theory," Anatomy and Embryology 203(3), pp. 147-173, 2001.
2. S. Pakin, J. Tamez-Pena, and S. T. K. Parker, "Segmentation, surface extraction, and thickness computation of articular cartilage," in SPIE Medical Imaging, pp. 155-166, 2002.
3. T. Kapur, P. A. Beardsley, S. F. Gibson, W. E. L. Grimson, and W. M. Wells, "Model based segmentation of clinical knee MRI," in Model-based 3D Image Analysis (in conjuction with ICCV), (Bombay, India), Jan 1998.
4. J. Duncan and N. Ayache, "Medical image analysis: Progress over two decades and the challenges ahead," IEEE Transactions on Pattern Analysis and Machine Intelligence 22(1), pp. 85-106, 2000.
5. D. L. Pham, C. Xu, and J. L. Prince, "Current methods in medical image segmentation," in Annual Review of Biomedical Engineering, 2, pp. 315-337, 2000.
6. M. Kass, A. Witkin, and D. Terzopoulus, "Snakes: Active contour models," International Journal of Computer Vision 1, pp. 312-331, 1988.
7. L. Cohen and I. Cohen, "Finite-element methods for active contour models and balloons for 2-d and 3-d images," IEEE Transactions on Pattern Analysis and Machine Intellignece 15(11), pp. 1131-1147, 1993. URL: http://citeseer.nj.nec.com/cohen91finite.html.
8. S. Osher and J. A. Sethian, "Fronts propagating with curvature-dependent speed: algorithms based on hamilton-jacobi formulations," Journal of Computational Physics 79(1), pp. 12-49, 1988.
9. L. Lorigo, O. Faugeras, W. Crimson, R. Keriven, and R. Kikinis, "Segmentation of bone in clinical knee mri using texture-based geodesic active contours.," in Medical Image Computing and Computer-Assisted Intervention, October 1998.
10. L. H. Staib and J. S. Duncan, "Boundary finding with parametrically deformable models," IEEE Trans. Pattern Anal. Mach. Intell 14(11), pp. 1061-1075, 1992.
11. T. F. Cootes, A. Hill, C. J. Taylor, and J. Haslam, "The use of active shape models for locating structures in medical images," Image and Vision Computing 12(6), pp. 355-366, 1994.
12. M. Leventon, W. Crimson, and O. Faugeras, "Statistical shape influence in geodesic active contours," in IEEE Conf. Comp. Vision and Patt. Recog, pp. 316-323, 2000.
13. J. Yang and J. S. Duncan, "3d image segmentation of deformable objects with shape-appearance joint prior models using level sets," Medical Image Analysis 8(3), pp. 285-295, 2004.
14. T. Cootes and C. Taylor, "Statistical models of appearance for medical image analysis and computer vision," in Proc. SPIE Medical Imaging, 2001.
15. A. Kelemen, G. Székely, and G. Gerig., "Elastic model-based segmentation of 3-d neuroradiological data sets," IEEE Trans, on Medical Imaging 18, Oct 1999.
16. T. Mclnerney and D. Terzopoulos, "Deformable models in medical images analysis: a survey," Medical Image Analysis 1(2), pp. 91-108, 1996.
17. C. Xu, D. L. Pham, and J. L. Prince, "Medical image segmentation using deformable models," in Handbook of Medical Imaging - Volume 2: Medical Image Processing and Analysis, J. Fitzpatrick and M. Sonka, eds., pp. 129-174, SPIE Press, 2000.
18. D. L. Collins, W. Dai, T. M. Peters, and A. C. Evans, "Model-based segmentation of individual brain structures from MRI data," in Visualization in Biomedical Computing 1992: Proc SPIE, pp. 10-23.
19. J. Haller, G. Christensen, S. Joshi, M. Miller, and M. Vannier, "Digital atlas-based segmentation of the hippocampus," in Computer Assisted Radiology, H. Lemke, K. Inamura, C. Jaffe, and J. W. Vannier, eds., pp. 152-157, Springer Verlag, Berlin, June 1995.
20. S. Warfield, A. Robatino, J. Dengler, F. Jolesz, and R. Kikinis, "Nonlinear registration and template-driven segmentation," in Brain Warping, W. Toga, ed., pp. 67-84, Academic Press, 1998.
21. J. Gee, M. Reivich, and R. Bajcsy, "Elastically deforming 3D atlas to match anatomical brain images," J Comput Assist Tomogr 17, pp. 225-236, 1993.
22. K. Friston, J. Ashburner, C. Frith, J.-B. Poline, J. Heather, , and R. Frackowiak, "Spatial registration and normalization of images," 2, pp. 165-189, 1995.
23. R. Woods, "Automated global polynomial warping," in Brain Warping, W. Toga, ed., pp. 365-376, Academic Press, 1998.
24. Z. Xie, L. Ng, and J. Gee, "Two algorithms for non-rigid image registration and their evaluation," in Proceedings of SPIE on Medical Imaging 2003, San Diego, 2003.
25. S. Kovacic and R. Bajcsy, "Multiscale/multiresolution representations," in Brain Warping, W. Toga, ed., pp. 45-65, Academic Press, 1998.
26. S. Joshi, B. Davis, M. Jomier, and G. Gerig, "Unbiased diffeomorphic atlas construction for computational anatomy," NeuroImage 23(Supplement 1), pp. S151-S160, 2004.
27. Z. Xie and G. E. Farin, "Image registration using hierarchical B-splines," IEEE Trans. Vis. Comput. Graph 10(1), pp. 85-94, 2004.
28. J. Feldmar and N. Ayache, "Rigid, affine and locally affine registration of free-form surfaces," Tech. Rep. 2220, Institut National de Recherche en Informatique et en Automatique, 1994. URL: http://www.inria.fr/ RRRT/RR-2220.html.
29. K. S. Arun, T. S. Huang, and S. D. Blostein, "Least-squares fitting of two 3-d point sets," IEEE Trans. Pattern Anal. Mach. Intell. 9(5), pp. 698-700, 1987.
30. S. Lee, G. Wolberg, and S. Y. Shin, "Scattered data interpolation with multilevel B-Splines," Visualization & Computer Graphics 3(3), pp. 228-244, 1997.
31. J. Tamez-Pena, K. J. Parker, and S. Totterman, "Unsupervised statistical segmentation of multispectral volumetric MR images," in Proceedings of SPIE Medical Imaging, 1999.
32. S. Warfield, K. Zou, and W. Wells, "Simultaneous truth and performance level estimation (staple): An algorithm for the validation of image segmentation," IEEE TRANSACTIONS ON MEDICAL IMAGING, 23, pp. 903-921, July 2004.