An inter-landmark approach to 4-D shape extraction and interpretation: Application to myocardial motion assessment in MRI

IEEE Transactions on Medical Imaging

Volumn 30, Issue 1, 2011, Pages 52-68

  Lekadir, Karim ^a   Keenan, Niall G ^b   Pennell, Dudley J ^b   Yang, Guang Zhong ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b ROYAL BROMPTON HOSPITAL   (United Kingdom)

Author keywords

Dynamic shape analysis; inter landmark descriptors; myocardial motion assessment; pose invariance; statistical shape modeling

Indexed keywords

DESCRIPTORS; MYOCARDIAL MOTION ASSESSMENT; POSE INVARIANCE; SHAPE ANALYSIS; STATISTICAL SHAPES;

DYNAMIC ANALYSIS; RATING; RESONANCE;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; ARTIFACT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; HEART; HEART CONTRACTION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MOTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ARTIFACTS; HEART; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; MOTION; MYOCARDIAL CONTRACTION; PATTERN RECOGNITION, AUTOMATED;

EID: 78650882654     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2060490     Document Type: Article

References (56)

1. G. M. Pohost, L. Hung, and M. Doyle, "Clinical use of cardiovascular magnetic resonance," Circulation, vol. 108, pp. 647-653, 2003.
2. A. F. Frangi, W. J. Niessen, and M. A. Viergever, "Three-dimensional modeling for functional analysis of cardiac images: A review," IEEE Trans. Med. Imag., vol. 20, no. 1, pp. 2-25, Jan. 2001.
3. T. F. Cootes, D. Cooper, C. J. Taylor, and J. Graham, "Active shape models-Their training and application," Comput. Vis. Image Understand. (CVIU), vol. 61, no. 1, pp. 38-59, 1995.
4. I. L. Dryden and K. V. Mardia, Statistical Shape Analysis. New York: Wiley, 1998.
5. H. C. v. Assen, M. G. Danilouchkine, A. F. Frangi, S. Ordas, J. J. M. Westenberg, J. H. C. Reiber, and B. P. F. Lelieveldt, "SPASM: A 3D-ASM for segmentation of sparse and arbitrarily oriented cardiac MRI data," Med. Image Anal., vol. 10, no. 2, pp. 286-303, 2006.
6. M. d. Bruijne, B. v. Ginneken, M. Viergever, and W. Niessen, "Adapting active shape models for 3D segmentation of tubular structures in medical images," presented at the Conf. Inf. Process. Med. Imag. (IPMI), 2003.
7. T. Heimann, S. Münzing, H.-P. Meinzer, and I. Wolf, "A shape-guided deformable model with evolutionary algorithm initialization for 3D soft tissue segmentation," presented at the Inf. Process. Med. Imag. (IPMI), Kerkrade, The Netherlands, 2007.
8. G. Hamarneh and T. Gustavsson, "Deformable spatio-temporal shape models: Extending ASM to 2D+time," Image Vis. Comput., vol. 22, no. 6, pp. 461-470, 2004.
9. J. G. Bosch, F. Nijland, S. C. Mitchell, B. P. F. Lelieveldt, O. Kamp, M. Sonka, and J. H. C. Reiber, "Computer-aided diagnosis via model-based shape analysis: Automated classification of wall motion abnormalities in echocardiograms," Academic Radiol., vol. 12, no. 3, pp. 358-367, 2005.
10. F. Zhao, H. Zhang, A. Wahle, A. Stolpen, T. Scholz, and M. Sonka, "Congenital aortic disease: 4D magnetic resonance segmentation and quantitative analysis," Med. Image Anal., vol. 13, no. 3, pp. 483-493, 2009.
11. C. Goodall, "Procrustes methods in the statistical analysis of shape," J. R. Stat. Soc. B, vol. 53, no. 2, pp. 285-339, 1991.
12. P. Verboon and W. J. Heiser, "Resistant orthogonal procrustes analysis," J. Classificat., vol. 9, pp. 237-256, 1992.
13. 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., vol. 9, no. 5, pp. 698-700, Sep. 1987.
14. L. Dorst, "First order error propagation of the procrustes method for 3D attitude estimation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 2, pp. 221-230, Feb. 2005.
15. J. A. Walker, "The ability of geometric morphometric methods to estimate a known covariance matrix," Systematic Biol., vol. 49, pp. 686-696, 2000.
16. N. Duta and M. Sonka, "Segmentation and interpretation of MR brain images: An improved active shape model," IEEE Trans. Med. Imag., vol. 17, no. 6, pp. 1049-1067, Dec. 1998.
17. M. Rogers and J. Graham, "Robust active shape model search," in Eur. Conf. Comput. Vis. (ECCV), 2002.
18. K. Lekadir, R. Merrifield, and G.-Z. Yang, "Outlier detection and handling for robust 3D active shape models search," IEEE Trans. Med. Imag., vol. 26, no. 2, pp. 212-222, Feb. 2007.
19. K. Sjoestrand, M. B. Stegmann, and R. Larsen, "Sparse principal component analysis in medical shape modeling," in SPIE Med. Imag.: Image Process., 2006.
20. K. Y. E. Leung and J. G. Bosch, "Localized shape variations for classifying wall motion in echocardiograms," presented at the Med. Image Computing Computer Assist. Intervent. (MICCAI), Brisbane, Australia, 2007.
21. A. Suinesiaputra, A. F. Frangi, T. Kaandorp, H. J. Lamb, J. J. Bax, J. Reiber, and B. Lelieveldt, "Automated detection of regional wall motion abnormalities based on a statistical model applied to multislice short-axis cardiac MR images," IEEE Trans. Med. Imag., vol. 28, no. 4, pp. 595-607, Apr. 2009.
22. G. Behiels, F. Maes, D. Vandermeulen, and P. Suetens, "Evaluation of image features and search strategies for segmentation of bone structures inradiographs using active shape models," Med. Image Anal., vol. 6, no. 1, pp. 47-62, 2002.
23. T. F. Cootes and C. J. Taylor, "Active shape model search using local grey-level models: A quantitative evaluation," presented at the Proc. Br. Mach. Vis. Conf. (BMVC), Surrey, U.K., 1993.
24. T. F. Cootes and C. J. Taylor, "Data driven refinement of active shape model search," presented at the Br. Mach. Vis. Conf. (BMVC), Edinburgh, U.K., 1996.
25. T. F. Cootes, C. J. Taylor, and A. Lanitis, "Multi-resolution search with active shape models," in Int. Conf. Pattern Recognit., 1994.
26. M. Brejl and M. Sonka, "Object localization and border detection criteria design in edge-based image segmentation: Automated learning from examples," IEEE Trans. Med. Imag., vol. 19, no. 10, pp. 973-985, Oct. 2000.
27. Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering, and D. Comaniciu, "Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes using marginal space learning and steerable features," IEEE Trans. Med. Imag., vol. 27, no. 11, pp. 1668-1681, Nov. 2008.
28. C. Davatzikos, X. Tao, and D. Shen, "Hierarchical active shape models, using the wavelet transform," IEEE Trans. Med. Imag., vol. 22, no. 3, pp. 414-423, Mar. 2003.
29. Y. Wang and L. H. Staib, "Boundary finding with prior shape and smoothness models," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 7, pp. 738-743, Jul. 2000.
30. D. Comaniciu, X. S. Zhou, and S. Krishnan, "Robust real-time my-ocardial border tracking for echocardiography: An information fusion approach," IEEE Trans. Med. Imag., vol. 23, no. 7, pp. 849-860, Jul. 2004.
31. K. Lekadir and G.-Z. Yang, "Optimal feature point selection and automatic initialization in active shape model search," in Med. Image Computing Computer Assist. Intervent. (MICCAI), Copenhagen, Denmark, 2008.
32. K. Lekadir, N. Keenan, D. Pennell, and G.-Z. Yang, "Shape-based my-ocardial contractility analysis using multivariate outlier detection," in Med. Image Computing Computer Assist. Intervent. (MICCAI), Brisbane, Australia, 2007.
33. H. S. M. Coxeter, "Barycentric coordinates," in Introduction to Geometry, 2nd ed. New York: Wiley, 1969, pp. 216-221.
34. M. Floater, "Parametrization and smooth approximation of surface tri-angulations," Computer Aided Geometric Design, vol. 14, no. 3, pp. 231-250, 1997.
35. N. Sukumar and E. A. Malsch, "Recent advances in the construction of polygonal finite element interpolants," Arch. Computat. Methods Eng., vol. 13, no. 1, pp. 129-163, 2006.
36. J. Warren, "Barycentric coordinates for convex polytopes," Adv. Com-putat. Math., vol. 6, pp. 97-108, 1996.
37. M. Meyer, H. Lee, A. J. Barr, and M. Desbrun, "Generalized barycen-tric coordinates on irregular polygons," J. Graphics Tools, vol. 7, no. 1, pp. 13-22, 2002.
38. J. Nocedal and S. J. Wright, Numerical Optimization, 2nd ed. New York: Springer Verlag, 2006.
39. E. M. Gertz and S. J. Wright, "Object-oriented software for quadratic programming," ACM Trans. Math. Software, vol. 29, no. 1, pp. 58-81, 2003.
40. S. Mehrotra, "On the implementation of a primal-dual interior point method," SIAM J. Optimizat., vol. 2, no. 4, pp. 575-601, 1992.
41. C. Becker and U. Gather, "The masking breakdown point of multi-variate outlier identification rules," J. Am. Stat. Assoc., vol. 94, pp. 947-955, 1999.
42. S. J. Russell andP. Norvig, Artificial Intelligence: A Modern Approach. Upper Saddle River, NJ: Prentice-Hall 2003.
43. B. V. Ginneken, A. F. Frangi, J. J. Staal, B. M. t. H. Romeny, and M. A. Viergever, "Active shape model segmentation with optimal features," IEEE Trans. Med. Imag., vol. 21, no. 8, pp. 924-933, Aug. 2002.
44. A. Whitney, "A direct method of non parametric measurement selection," IEEE Trans. Comput., vol. 20, no. 9, pp. 1100-1103, Sep. 1971.
45. M. Siotani, "Tolerance regions for a multivariate normal population," Ann. Inst. Stat. Math., vol. 16, p. 135, 1964.
46. P. J. Huber, Robust Statistics. New York: Wiley, 1981.
47. C. R. Oost, B. P. F. Lelieveldt, M. Üzümcü, H. Lamb, J. H. C. Reiber, and M. Sonka, "Multi-view active appearance models: Application to X-ray LV angiography and cardiac MRI," in Inf. Process. Med. Imag. (IPMI), 2003.
48. W. H. Kruskal and W. A. Wallis, "Use of ranks in one-criterion variance analysis," J. Am. Stat. Assoc., vol. 47, no. 260, pp. 583-621, 1952.
49. H. B. Mann and D. R. Whitney, "On a test of whether one of two random variables is stochastically larger than the other," Ann. Math. Stat., vol. 18, pp. 50-60, 1947.
50. M. D. Cerqueira, N. J. Weissman, and V. Dilsizian, "Standardized my-ocardial segmentation and nomenclature for tomographic imaging of the heart: A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association," Circulation, vol. 105, pp. 539-542, 2002.
51. S. C. Mitchell,J.G.Bosch,B.P. F.Lelieveldt, R. J. V. D. Geest,J.H.C. Reiber, and M. Sonka, "3-D active appearance models: Segmentation of cardiac MR and ultrasound images," IEEE Trans. Med. Imag., vol. 21, no. 9, pp. 1167-1178, Sep. 2002.
52. H. Zhang, A. Wahle, R. K. Johnson, T. D. Scholz, and M. Sonka, "4-D cardiac MR image analysis: Left and right ventricular morphology and function," IEEE Trans. Med. Imag., vol. 29, no. 2, pp. 350-364, Feb. 2010.
53. A.G. Chandler,R.J. Pinder,T.Netsch, J.A.Schnabel, D. J. Hawkes, D. L. H. DL, and R. Razavi, "Correction of misaligned slices in multi-slice cardiovascular magnetic resonance using slice-to-volume registration," J. Cardiovas. Magn. Reson., vol. 10, no. 1, 2008.
54. J. Lötjönen, M. Pollari, S. Kivisto, and K. Lauerma, "Correction of movement artifacts from 4-D cardiac short- and long-axis MR data," in Proc. Med. Image Computing Computer Assist. Intervent. (MICCAI), 2004.
55. T. Liu, D. Shen, and C. Davatzikos, "Predictive modeling of anatomic structures using canonical correlation analysis," in IEEE Int. Symp. Biomed. Imag., 2004, vol. 2, pp. 1279-1282.
56. T. F. Cootes, C. J. Twining, K. O. Babalola, and C. J. Taylor, "Diffeo-morphic statistical shape models," Image Vision Comput., vol. 26, pp. 326-332, 2008.