Segmentation, registration, and measurement of shape variation via image object shape

IEEE Transactions on Medical Imaging

Volumn 18, Issue 10, 1999, Pages 851-865

  Pizer, Stephen M ^a   Fritsch, Daniel S ^a   Yushkevich, Paul A ^a   Johnson, Valen E ^a   Chaney, Edward L ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

Deformable model; Markov random field; Medial; Medical image analysis; Registration; Scale; Segmentation; Shape

Indexed keywords

IMAGE ANALYSIS; IMAGE SEGMENTATION; MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILITY;

DEFORMABLE MODELS; IMAGE REGISTRATION;

MEDICAL IMAGING;

ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC IMAGING; HUMAN; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROBABILITY; RADIOGRAPHY; RADIOTHERAPY; SCHIZOPHRENIA; STATISTICS; SURGERY;

BAYES THEOREM; BRAIN; DIAGNOSTIC IMAGING; HUMANS; MAGNETIC RESONANCE IMAGING; MARKOV CHAINS; MODELS, BIOLOGICAL; RADIOTHERAPY; SCHIZOPHRENIA; SURGICAL PROCEDURES, OPERATIVE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 0033201361     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.811263     Document Type: Article

References (35)

1. J. E Besag, "On the statistical analysis of dirty pictures," J. R. Stat. Soc., B, vol. 48, pp. 259-302, 1986.
2. H. Blum, "A new model of global brain function," Perspectives Biol. Med., vol. 10 pp. 381-07, 1967.
3. H. Blum and R. N. Nagel, "Shape description using weighted symmetric axis features," Pattern Recognit., vol. 10, pp. 167-180, 1978.
4. F. L. Bookstein, Morphometric Tools for Landmark Data: Geometry and Biology. Cambridge, U.K.: Cambridge Univ. Press, 1991.
5. C. A. Burbeck and S. M. Pizer, "Object representation by cores: dentifying and representing primitive spatial regions," Vision Research, vol. 35, no. 13, pp. 1917-1930, 1995.
6. C. A. Burbeck, S. M. Pizer, B. S. Morse, D. Ariely, G. Zauberman, and J. Rolland, "Linking object boundaries at scale: A common mechanism for size and shape judgements," Vision Research., vol. 36, no. 3, pp. 361-372, 1996.
7. D. Chen, "Volume rendering guided by multiscale medial models," Ph.D. dissertation, Univ. of NC Dept. of Computer Science.
8. G. Christensen, S. Joshi, and M. Miller, "Volumetric transformation of brain anatomy," IEEE Trans. Med. Imag., vol. 16 pp. 864-867, Dec. 1997.
9. G. J. Clary, S. M. Pizer, D. S. Fritsch, and J. R. Perry, "Left ventricular wall motion tracking via deformable shape loci," in Proc. Computer Assisted Radiology and Surgery, CAR'97, H. U. Lemke, M. W. Vannier, and K. Inamura, Eds. Amsterdam, The Netherlands: Elsevier, 1997, pp. 271-276.
10. T. F. Cootes, A. Hill, C. J. Taylor, J. Haslam, "The use of active shape models for locating structures in medical images," in Information Processing in Medical Imaging (Lecture Notes in Computer Science), H. H. Barrett and A. F. Gmitro, Eds. Berlin, Germany: Springer-Verlag, 1993, vol. 687, pp. 33-7.
11. D. Eberly, "Chapter 14: A differential approach to anisotropic diffusion," in Geometry-Driven Diffusion in Computer Vision. Dordrecht, The Netherlands: Kluwer, 1994, ch. 4, pp. 371-392.
12. D. S. Fritsch, E. L. Chaney, A. Boxwala, M. J. McAuliffe, S. Raghavan, A. Thall, and J. R. D. Earnhart, "Core-based portal image registration for
13. automatic radiotherapy treatment verification," Int. J. Radiation, Oncol., Biol., Phys. (Special Issue on Conformai Therapy), vol. 33, no. 5, pp. 1287-1300, 1995.
14. D. S. Fritsch, L. Yu, V. Johnson, M. J. McAuliffe, S. M. Pizer, and E. L. Chaney, "A probabilistic approach using deformable organ models for automatic definition of normal anatomical structures for 3D treatment planning" (Abstract), Int. J. Radiation, Oncol., Biol., Phys., vol. 36, supp. 1, p. 187, 1996.
15. D. S. Fritsch, S. M. Pizer, L. Yu, and E. L. Chaney, "Segmentation of medical image objects using deformable shape loci," in Proc. Information Processing Medical Imaging (IPMI'97) (Lecture Notes in Computer Science), J. Duncan and G. Gindi, Eds. Berlin, Germany: Springer-Verlag, 1997, vol. 1230, pp. 127-140.
16. F. S. Frome, "A psychophysical study of shape alignment," Univ. of Maryland, Comp. Sci. Center, Tech. Rep. TR-198, 1972.
17. U. Grenander and M. I. Miller, "Representations of knowledge in complex systems," J. R. Stat. Soc., vol. 56, pp. 549-603, 1994.
18. A. Kelemen, G. Székely, and G. Gerig, "Three-dimensional model-based segmentation," in Proc. Workshop on Biomédical Image Analysis, B. Vemuri, Ed. Piscataway, NJ: IEEE Computer Science Press, 1998, pp. 4-13.
19. D. G. Kendall, "A survey of the statistical theory of shape," Stau. Sci., vol. 4, pp. 87-120, 1984.
20. J. J. Koenderink, "The structure of images," Bio. Cybern., vol. 50, pp. 363-370, 1984.
21. J. Laading, C. McCulloch, V. Johnson, D. Gilland, and R. Jasczak, "A hierarchical feature based deformation model applied to 4d cardiac SPECT data," in Proc. Information Processing Medical Imaging (IPMI '99) (Lecture Notes in Computer Science), A. Kuba, M. Samal, A. ToddPokropek, Eds. Berlin, Germany: Springer-Verlag, 1999, vol. 1613, pp. 266-279.
22. M. Leyton, Symmetry, Causality, Mind. Cambridge, MA: MIT, 1992.
23. T. Lindeberg, B. M. ter Haar Romeny, "Chapter 1: Linear scalespace I: Basic theory," and "Chapter 2: Linear scale-space II: Early visual operations," in Geometry-Driven Diffusion in Computer Vision. Dordrecht, The Netherlands: Kluwer, 1994, pp. 1-72.
24. A. Liu, E. Bullitt, and S. M. Pizer, "3D/2D registration via skeletal near-projective invariance in tubular objects," in Medical Image Computing and Computer-Assisted Intervention MICCAI'98 (Lecture Notes in Computer Science), W. M. Wells, A. Colchester, and S. Delp, Eds. Berlin, Germany: Springer-Verlag, 1998, vol. 1496, pp. 953-963.
25. _, "Surgical instrument guidance using synthesized anatomical structures," in CVRMed-MRCAS'97, (Lecture Notes in Computer Science), J. Troccaz, E. Grimson, and R. Mösges, Eds. Berlin, Germany: Springer-Verlag, 1997, vol. 1205, pp. 99-108.
26. B. S. Morse, S. M. Pizer, D. T. Puff, and C. Gu, "Zoom-invariant vision of figurai shape: Effects on cores of image disturbances," Comp. Vision Image Understanding, vol. 69, pp. 72-86, 1998.
27. S. M. Pizer, D. Eberly, B. S. Morse, and D. S. Fritsch, "Zoom-invariant vision of figurai shape: The mathematics of cores," Comp. Vision Image Understanding, vol. 69, pp. 55-71, 1998.
28. S. M. Pizer, D. S. Fritsch, K. C. Low, and J. D. Fürst, "2D & 3D figurai models of anatomic objects from medical images," in Mathematical Morphology and Its Applications to Image Processing (Kluwer Computational Imaging and Vision Series), H. J. A. M. Heijmans and J. B. T. M. Roerdink, Eds. Amsterdam, The Netherlands: Kluwer, 1998, pp. 139-150.
29. J. Psotka, "Perceptual processes that may create stick figures and balance," J. Psycho!.: Human Perception Performance vol. 4, pp. 101-111, 1978.
30. L. H. Staib and J. S. Duncan, "Boundary finding with parametrically deformable models," IEEE Trans. Pattern Anal. Machine Intell, vol. 14, pp. 1061-1075, Nov. 1992.
31. _, "Model-based deformable surface finding for medical images," IEEE Trans Med. Imag., vol. 15, pp. 720-731, Oct. 1996.
32. G. Székely, A. Kelemen, C. Brechbuhler, and G. Gerig, "Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models," Med. Image Anal., vol. 1, no. 1, vol. 19-34, 1996.
33. A. Wilson, V. Johnson, S. M. Pizer, D. Fritsch, L. Yu, and E. Chaney, "Toward a framework for automated image analysis," in Proc. 16th Leeds Annu. Statistical Workshop: Image Fusion Shape Variability Techniques. Leeds, U.K.: Univ. of Leeds Press, 1996.
34. A. G. Wilson, "Statistical models for shapes and deformations," Ph.D. dissertation, Inst. Statistics Decision Sciences, Duke Univ., Durham, NC, 1995.
35. A. L. Yuille, P. W. Hallinan, and D. S. Cohen, "Feature extraction from faces using deformable templates," Int. J. Comp. Vision, vol. 8, no. 2, pp. 99-111, 1992.