Precise segmentation of 3-D magnetic resonance angiography

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 7, 2012, Pages 2019-2029

  El Baz, Ayman ^a   Elnakib, Ahmed ^a   Khalifa, Fahmi ^a   El Ghar, Mohamed Abou ^b   McCclure, Patrick ^a   Soliman, Ahmed ^a   Gimel'farb, Georgy ^c  

^a University of Louisville   (United States)

^b MANSOURA UNIVERSITY   (Egypt)

^c UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Cerebrovascular system; linear combination of discrete Gaussians (LCDG); magnetic resonance angiography (MRA); segmentation

Indexed keywords

ANATOMICAL STRUCTURES; AUTOMATIC EXTRACTION; CEREBROVASCULAR SYSTEM; DATA SETS; DISCRETE GAUSSIANS; GEOMETRICAL PHANTOM; LINEAR COMBINATIONS; MAGNETIC RESONANCE ANGIOGRAPHY; MULTI-MODAL; PHASE CONTRASTS; PROBABILITY MODELS; TIME OF FLIGHT; VOXEL INTENSITIES;

ANGIOGRAPHY; BLOOD VESSELS; IMAGE SEGMENTATION; MAGNETIC RESONANCE; PROBABILITY DISTRIBUTIONS;

THREE DIMENSIONAL;

ARTICLE; BLOOD VESSEL; BRAIN BLOOD VESSEL; IMAGE ANALYSIS; IMAGE PROCESSING; MAGNETIC RESONANCE ANGIOGRAPHY; MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BRAIN; CEREBROVASCULAR CIRCULATION; DATABASES, FACTUAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE ANGIOGRAPHY; NORMAL DISTRIBUTION; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS;

EID: 84862751646     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2196434     Document Type: Article

References (36)

1. Y. Sato, S. Nakajimaa, N. Shiragaa, H. Atsumia, S. Yoshidab, T. Kollerc, G. Gerigc, and R. Kikinisa, "Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images," Med. Image Anal., vol. 2, no. 2, pp. 143-168, 1998. (Pubitemid 128501135)
2. K. Krissian, G. Malandain, N. Ayache, R. Vaillant, and Y. Trousset, "Model based multiscale detection of 3D vessels," in Proc. IEEE Conf. Comput. Vision Pattern Recognit., 1998, pp. 722-727.
3. F. Catté, P-L. Lions, J.-M. Morel, and T. Coll, "Image selective smoothing and edge detection by nonlinear diffusion," SIAM J. Numer. Anal., vol. 29, no. 1, pp. 182-193, 1992.
4. C. Lacoste, G. Finet, and I. E. Magnin, "Coronary tree extraction from X-ray angiograms using marked point processes," in Proc. IEEE Int. Symp. Biomed. Imag., 2006, pp. 157-160.
5. M. A. Gülsün and H. Tek, "Robust vessel tree modeling," in Proc. Int. Conf. Med. Image Comput. Comput - Assist. Intervent., 2008, pp. 602-611.
6. M. Pèchaud, R. Keriven, and G. Peyré, "Extraction of tubular structures over an orientation domain," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2009, pp. 336-342.
7. H. Li and A. Yezzi, "Vessels as 4-D curves: Global minimal 4-D paths to extract 3-D tabular surfaces and centerlines," IEEE Trans. Med. Imag., vol. 26, no. 9, pp. 1213-1223, Sep. 2007. (Pubitemid 47383443)
8. N. Zhu and A. C. Chung, "Minimum average-cost path for real time 3D coronary artery segmentation of CT images," in Proc. Int. Conf. Med. Image Comput. Comput. - Assist. Intervent., 2011, pp. 436-444.
9. A. C. Jalba, M. H. Wilkinson, and J. B. Roerdink, "CPM: A deformable model for shape recovery and segmentation based on charged particles,"IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 10, pp. 1320-1335, Oct. 2004.
10. L. M. Lorigo, O. D. Faugeras, W. E. Grimson, R. Keriven, R. Kikinis, A. Nabavi, and C. F. Westin, "Curves: Curve evolution for vessel segmentation,"Med. Image Anal., vol. 5, no. 3, pp. 195-206, 2001. (Pubitemid 35282804)
11. T. Deschamps and L. D. Cohen, "Fast extraction of tubular and tree 3Dsurfaces with front propoagation methods," in Proc. IEEE Int. Conf. Pattern Recognit., 2002, pp. 731-734.
12. M. Holtzman-Gazit, R. Kimmel, N. Peled, and D. Goldsher, "Segmentation of thin structures in volumetric medial images," IEEE Trans. Image. Process., vol. 15, no. 3, pp. 354-363, Feb. 2006. (Pubitemid 43126160)
13. R. Manniesing, B. K. Velthuis, M. S. van Leeuwen, I. C. van der Schaaf, P. J. van Laar, and W. J. Niessen, "Level set based cerebral vasculature segmentation and diameter quantification in CT angiography," Med. Image. Anal., vol. 10, no. 2, pp. 200-214, 2006. (Pubitemid 43174974)
14. N. D. Forkert, D. Säring, T. Illies, J. Fiehler, J. Ehrhardt, H. Handels, and A. Schmidt-Richberg, "Direction-dependent level set segmentation of cerebrovascular structures," Proc. SPIE, Image Process.: Med. Imag., vol. 7962, pp. 1-8, 2011.
15. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes:Active contour models,"Int. J. Comput. Vision, vol. 1, pp. 321-331, 1988.
16. C. Xu and J. L. Prince, "Snakes, shapes, and gradient vector flow," IEEE Trans. Image Process., vol. 7, no. 3, pp. 359-369, 1998. (Pubitemid 128745354)
17. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," Int. J. Comput. Vision, vol. 22, no. 1, pp. 61-79, 1997.
18. D. L. Wilson and J. A. Noble, "An adaptive segmentation algorithm for time-of-flight MRA data," IEEE Trans. Med. Imag., vol. 18, no. 10, pp. 938-945, Oct. 1999.
19. A. C. S. Chung and J. A. Noble,"Statistical 3D vessel segmentation using a Rician distribution," in Proc. Int. Conf. Med. Image Comput. Comput. - Assist. Intervent., 1999, pp. 82-89.
20. A. Webb, Statistical Pattern Recognition. New York: Wiley, 2002.
21. D. Nain, A. Yezzi, and G. Turk, "Vessels segmentation using a shape driven flow," in Proc. Int. Conf. Med. Image Comput. Comput. - Assist. Intervent., 2004, pp. 51-59.
22. M. W. Law and A. C. Chung, "A deformable surface model for vascular segmentation," in Proc. Int. Conf. Med. Image Comput. Comput. - Assist. Intervent., 2009, pp. 59-67.
23. R. Gan, A. C. Chung, C. K. Wong, and S. C. Yu, "Vascular segmentation in three-dimensional rotational angiography based on maximum intensity projections," in Proc. IEEE Int. Symp. Biomed. Imag., 2004, pp. 133-136.
24. S. Hu and E. A. Hoffman, "Automatic lung segmentation for accurate quantization of volumetric X-ray CT images," IEEE Trans. Med. Imag., vol. 20, no. 6, pp. 490-498, Jun. 2001. (Pubitemid 32657853)
25. J. Mille, R. Bonè, and L. D. Cohen, "Region-based 2D deformable generalized cylinder for narrow structures segmentation," in Proc. Eur. Conf. Comput. Vision, 2008, pp. 392-404.
26. J. Tyrrell, E. di Tomaso, D. Fuja, R. Tong, K. Kozak, R. K. Jain, and B. Roysam, "Robust 3-D modeling of vascuature imagery using superellipsoids,"IEEE Trans. Med. Imag., vol. 26, no. 2, pp. 223-237, Feb. 2007. (Pubitemid 46362765)
27. T. Chen and D. N. Metaxas, "Gibbs prior models, marching cubes, and deformablemodels: A hybrid framework for 3Dmedical image segmentation,"in Proc. Int. Conf. Med. Image Comput. Comput. - Assist. Intervent., 2003, pp. 703-710.
28. Y. Shang, R. Deklerck, E. Nyssen, A. Markova, J. de Mey, X. Yang, and K. Sun, "Vascular active contour for vessel tree segmentation," IEEE Trans. Biomed. Eng., vol. 58, no. 4, pp. 1023-1032, Apr. 2011.
29. X. Gao, Y. Uchiyama, X. Zhou, T. Hara, T. Asano, and H. Fujita, "A fast and fully automatic method for cerebrovascular segmentation on time-of-flight (TOF) MRA image," J. Digital Imag., vol. 24, no. 4, pp. 609-625, 2011.
30. A. Dufour, N. Passat, B. Naegel, and J. Baruthio, "Interactive 3D brain vessel segmentation from an example," in Proc. IEEE Int. Symp. Biomed. Imag., 2011, pp. 1121-1124.
31. W. Liao, K. Rohr, C.-K. Kang, Z.-H. Cho, and S. Wörz, "A generative MRF approach for automatic 3D segmentation of cerebral vasculature from 7 Tesla MRA images," in Proc. IEEE Int. Symp. Biomed. Imag., 2011, pp. 2041-2044.
32. G. Gimel'farb, A. A. Farag, and A. El-Baz, "Expectation-maximization for a linear combination of Gaussians," in Proc. IEEE Int. Conf. Pattern Recognit., 2004, vol. 3, pp. 422-425.
33. M. Sabry, C. B. Sites, A. A. Farag, S. Hushek, and T. Moriaty, "A fast automatic method for 3D volume segmentation of the human cerebrovascular,"in Proc. Comput. - Assist. Radiol. Surg., 2002, pp. 382-387.
34. K. Suzuki, "Computerized segmentation of organs by means of geodesic active-contour level-set algorithm," in Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies, vol. 1, A. El-Baz, R. Acharya, M. Mirmedhdi, and J. Suri, eds., New York: Springer-Verlag, 2011, ch. 4, pp. 103-128.
35. J. W. Lamperti, Probability. New York: Wiley, 1996.
36. T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning. New York: Springer-Verlag, 2001.