Topomorphologic separation of fused isointensity objects via multiscale opening: Separating arteries and veins in 3-D pulmonary CT

IEEE Transactions on Medical Imaging

Volumn 29, Issue 3, 2010, Pages 840-851

  Saha, Punam K ^a   Gao, Zhiyun ^a   Alford, Sara K ^a   Sonka, Milan ^a   Hoffman, Eric A ^b  

^a IA United States   (United States)

^b UNIVERSITY OF IOWA   (United States)

Author keywords

Artery; Computed tomography (CT); Fuzzy connectivity; Fuzzy distance transform (FDT); Morphology; Pulmonary imaging; Scale; Vascular tree; Vein

Indexed keywords

COMPUTED TOMOGRAPHY; FUZZY CONNECTIVITY; FUZZY DISTANCE; PULMONARY IMAGING; VASCULAR TREES;

COMPUTERIZED TOMOGRAPHY; MORPHOLOGY; SEED;

THREE DIMENSIONAL;

CONTRAST MEDIUM;

ADULT; ALGORITHM; ARTICLE; BIOLOGICAL MODEL; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; FEMALE; FOURIER ANALYSIS; FUZZY LOGIC; HISTOLOGY; HUMAN; IMAGE QUALITY; LUNG; METHODOLOGY; PULMONARY ARTERY; PULMONARY VEIN; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VASCULARIZATION;

ALGORITHMS; COMPUTER SIMULATION; CONTRAST MEDIA; FEMALE; FOURIER ANALYSIS; FUZZY LOGIC; HUMANS; IMAGING, THREE-DIMENSIONAL; LUNG; MODELS, CARDIOVASCULAR; PHANTOMS, IMAGING; PULMONARY ARTERY; PULMONARY VEINS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED; YOUNG ADULT;

EID: 77749264334     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2009.2038224     Document Type: Article

References (45)

1. A. Rosenfeld and A. C. Kak, Digital Picture Processing I. Orlando, FL: Academic, 1982.
2. A. Rosenfeld and A. C. Kak, Digital Picture Processing II. Orlando, FL: Academic, 1982.
3. A. K. Jain, Fundamentals of Digital Image Processing. Upper Saddle River, NJ: Prentice Hall, 1989.
4. J. K. Udupa and G.T. Herman, 3D Imaging in Medicine. Boca Raton, FL: CRC Press, 1991.
5. R. C. Gonzalez and R. E. Woods, Digital Image Processing. Reading, MA: Addison-Wesley, 1992.
6. J. C. Bezdek and S. K. Pal, Fuzzy Models for Pattern Recognition: Methods That Search for Structures in Data. Piscataway, NJ: IEEE, 1992.
7. M. Sonka, V. Hlavac, and R. Boyle, Image Processing, Analysis, and Machine Vision, 3rd ed. Toronto, ON, Canada: Thompson Learning, 2008.
8. G. Y. El-Khoury, M. H. Kathol, and W. W. Daniel, "Imaging of acute injuries of the cervical spine: Value of plain radiography, CT, and MR imaging," AJR Amer. J. Roentgenol., vol.164, pp. 43-50, 1995.
9. D. Pate, D. Resnick, M. Andre, D. J. Sartoris, S. Kursunoglu, D. Bi-elecki, P. Dev, and A. Vassiliadis, "Perspective: Three-dimensional imaging of the musculoskeletal system," AJR Amer. J. Roentgenol., vol.147, pp. 545-551, 1986.
10. M. M. Frigault, J. Lacoste, J. L. Swift, and C. M. Brown, "Live-cell microscopy\Tips and tools," J. Cell Sci., vol.122, pp. 753-767, 2009.
11. C. M. van Bemmel, L. J. Spreeuwers, M. A. Viergever, and W. J. Niessen, "Level-set-based artery-vein separation in blood pool agent CE-MR angiograms," IEEE Trans. Med. Imag., vol.22, no.10, pp. 1224-1234, Oct. 2003.
12. T. Lei, J. K. Udupa, P. K. Saha, and D. Odhner, "Artery-vein separation via MRA\An image processing approach," IEEE Trans. Med. Imag., vol.20, no.8, pp. 689-703, Aug. 2001.
13. T. Buelow, R. Wiemker, T. Blaffert, C. Lorenz, and S. Renisch, "Automatic extraction of the pulmonary artery tree from multi-slice CT data," in Proc. SPIE: Med. Imag., San Diego, CA, 2005, vol.5746, pp. 730-740.
14. T. Yonekura, "Classification algorithm of pulmonary vein and artery based on multi-slice CT image," in Proc. SPIE: Med. Imag., San Diego, CA, 2007, vol.6514, pp. 65 142E1-65 142E8.
15. P. K. Saha, F. W. Wehrli, and B. R. Gomberg, "Fuzzy distance transform: Theory, algorithms, and applications," Comput. Vis. Image Understand., vol.86, pp. 171-190, 2002.
16. A.Rosenfeld, "Fuzzy digital topology," Inf. Control, vol.40, pp. 76-87, 1979.
17. J. K. Udupa and S. Samarasekera, "Fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation," Graph. Models Image Process., vol.58, pp. 246-261, 1996.
18. P. K. Saha and J. K. Udupa, "Iterative relative fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation," in Proc. IEEE Workshop Math. Methods Biomed. Image Anal., Hilton Head, SC, 2000, pp. 28-35.
19. P. K. Saha and J.K. Udupa, "Relative fuzzy connectedness among multiple objects: Theory, algorithms, and applications in image segmentation," Comput. Vis. Image Understand., vol.82, pp. 42-56, 2001.
20. J. K. Udupa, P. K. Saha, and R. A. Lotufo, "Relative fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol.24, no.11, pp. 1485-1500, Nov. 2002.
21. A. Rosenfeld and J. Pfaltz, "Distance functions in digital pictures," Pattern Recognit., vol.1, pp. 33-61, 1968.
22. P. E. Daniensson, "Euclidean distance mapping," Comput. Graph. Image Process., vol.14, pp. 227-248, 1980.
23. N. Okabe, J. Toriwaki, and T. Fukumura, "Paths and distance functions in three dimensional digitized pictures," Pattern Recognit. Lett., vol.1, pp. 205-212, 1983.
24. G. Borgefors, "Distance transform in arbitrary dimensions," Comput. Vis. Graph. Image Process., vol.27, pp. 321-345, 1984.
25. G. Borgefors, "Distance transformations in digital images," Comput. Vis. Graph. Image Process., vol.34, pp. 344-371, 1986.
26. G. Borgefors, "On digital distance transformationin three dimensions," Comput. Vis. Graph. Image Process., vol.64, pp. 368-376, 1996.
27. R. Klette and A. Rosenfeld, Digital Geometry: Geometric Methods for Digital Picture Analysis. San Francisco, CA: Morgan Kaufmann, 2004.
28. B. J. H. Verwer, "Local distances for distance transformations in two and three dimensions," Pattern Recognit. Lett., vol.12, pp. 671-682, 1991.
29. A. L. D. Beckers and A. W. M. Smeulders, "Optimization of length measurements for isotropic distance transformations in three dimension," CVGIP: Image Understand., vol.55, pp. 296-306, 1991.
30. G. J. Grevera and J. K. Udupa, "Shape-based interpolation of multidimensional grey-level images," IEEE Trans. Med. Imag., vol.15, no.6, pp. 881-892, Dec. 1996.
31. P. K. Saha and F. W. Wehrli, "Measurement of trabecular bone thickness in the limited resolution regime of in vivo MRI by fuzzy distance transform," IEEE Trans. Med. Imag., vol.23, no.1, pp. 53-62, Jan. 2004.
32. S. Svensson, "Centres of maximal balls extracted from a fuzzy distance transform," in Proc. 8th Int. Symp. Math. Morphol., Rio de Janeiro, Brazil, 2007, pp. 19-20.
33. S. Svensson, "A decomposition scheme for 3D fuzzy objects based on fuzzy distance information," Pattern Recogn. Lett., vol.28, pp. 224-232, 2007.
34. S.Svensson, "Aspectson the reverse fuzzy distance transform," Pattern Recogn. Lett., vol.29, pp. 888-896, 2008.
35. A. Darabi, "Assessment of the porous media structure based on fuzzy distance transform and its map ridge," Magn. Reson. Imag., vol.25, pp. 556-566, 2007.
36. S. Dellepiane and F. Fontana, "Extraction of intensity connectedness for image processing," Pattern Recogn. Lett., vol.16, pp. 313-324, 1995.
37. P. K. Saha, J. K. Udupa, and D. Odhner, "Scale-based fuzzy connected image segmentation: Theory, algorithms, and validation," Comput. Vis. Image Understanding, vol.77, pp. 145-174, 2000.
38. G. T. Herman and B. M. Carvalho, "Multiseeded segmentation using fuzzy connectedness," IEEE Trans. Pattern Anal. Mach. Intell., vol.23, no.5, pp. 460-474, May 2001.
39. J. K. Udupa and P. K. Saha, "Fuzzy connectedness in image segmentation," in Proc. IEEE, Emerging Med. Imag. Technol., 2003, vol.91, pp. 1649-1669.
40. P. K. Saha and J. K. Udupa, "Fuzzy connected object delineation: Axiomatic path strength definition and the case of multiple seeds," Comput. Vis. Image Understand., vol.83, pp. 275-295, 2001.
41. K. C. Ciesielski, J. K. Udupa, P. K. Saha, and Y. Zhuge, "Iterative relative fuzzy connectedness for multiple objects with multiple seeds," Comput. Vis. Image Understand., vol.107, pp. 160-182, 2007.
42. H. Shikata, E. A. Hoffman, and M. Sonka, "Automated segmentation of pulmonary vascular tree from 3D CT images," in Proc. SPIE Int. Symp. Med. Imag., San Diego, CA, 2004, pp. 107-116.
43. X. Liu, D. Z. Chen, M. Tawhai, E. Hoffman, and M. Sonka, "Measurement, evaluation and analysis of wall thickness of 3D airway trees across bifurcations," in Proc. 2nd Int. Workshop Pulm. Image Process., London, UK, 2009, pp. 161-171.
44. P. K. Saha and B. B. Chaudhuri, "3D digital topology under binary transformation with applications," Comput. Vis. Image Understand., vol.63, pp. 418-429, 1996.
45. Z. H. Cho, J. P. Jones, and M. Singh, Foundation of Medical Imaging. New York: Wiley, 1993.