Phase-based level set segmentation of ultrasound images

IEEE Transactions on Information Technology in Biomedicine

Volumn 15, Issue 1, 2011, Pages 138-147

  Belaid, Ahror ^a   Boukerroui, Djamal ^a   Maingourd, Y ^b   Lerallut, Jean Francois ^a  

^a UNIVERSITÉ DE TECHNOLOGIE DE COMPIÈGNE   (France)

^b AMIENS UNIVERSITY HOSPITAL   (France)

Author keywords

Echocardiography; level set; local phase; monogenic signal; segmentation

Indexed keywords

CAUCHY KERNELS; COMMONLY USED; INTENSITY INVARIANT; INTENSITY-BASED METHODS; LEFT VENTRICLES; LEVEL SET; LEVEL SET SEGMENTATION; LOCAL ORIENTATIONS; LOCAL PHASE; LOW CONTRAST; MONOGENIC SIGNAL; QUADRATURE FILTERS; SEGMENTATION; SPECKLE NOISE; ULTRASOUND IMAGES;

ECHOCARDIOGRAPHY; FEATURE EXTRACTION; ULTRASONIC IMAGING; ULTRASONICS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; COMPUTER SIMULATION; ECHOCARDIOGRAPHY; ECHOGRAPHY; FOURIER ANALYSIS; HEART VENTRICLE; HISTOLOGY; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; METHODOLOGY;

ALGORITHMS; COMPUTER SIMULATION; ECHOCARDIOGRAPHY; FOURIER ANALYSIS; HEART VENTRICLES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; PHANTOMS, IMAGING;

EID: 78651266456     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2010.2090889     Document Type: Article

References (62)

1. C. B. Burckhardt, "Speckle in ultrasound B-mode scans," IEEE Trans. Sonics Ultrason., vol. SU-25, no. 1, pp. 1-6, Jan. 1978.
2. R. F. Wagner, S. W. Smith, J. M. Sandrik, and H. Lopez, "Statistics of speckle in ultrasound B-scans," IEEE Trans. Sonics Ultrason., vol. SU-30, no. 3, pp. 156-163, May 1983.
3. P. M. Shankar, J. M. Reid, H. Ortega, C. W. Piccoli, and B. B. Goldberg, "Use of non-Rayleigh statistics for the identification of tumors in ultrasonic B-scans of the breast," IEEE Trans. Med. Imag., vol. 12, no. 4, pp. 687-692, Dec. 1993.
4. V. Dutt and J. F. Greenleaf, "Ultrasound echo envelope analysis using a homodyned K-distribution signal model," Ultrason. Imag., vol. 16, no. 4, pp. 265-287, Oct. 1994.
5. V. Dutt and J. F. Greenleaf, "Statistics of the log-compressed echo envelope," J. Acous. Soc. Am., vol. 99, no. 6, pp. 3817-3825, Jun. 1996.
6. P. M. Shankar, "A general statistical model for ultrasonic backscattering from tissues," IEEE Trans. Ultrason., Ferroelectr., Freq. Control, vol. 47, no. 3, pp. 727-737, May 2000.
7. J. A. Noble and D. Boukerroui, "Ultrasound image segmentation: A survey," IEEE Trans. Med. Imag., vol. 25, no. 8, pp. 987-1010, Jul. 2006.
8. S. Nadarajah, "Statistical distributions of potential interest in ultrasound speckle analysis," Phys. Med. Biol., vol. 52, pp. 213-227, 2007.
9. D.A.N. Friedland, "Automatic ventricular cavity boundary detection from sequential ultrasound images using simulated annealing," IEEE Trans. Med. Imag., vol. 8, no. 4, pp. 344-535, Dec. 1989.
10. E. A. Ashton and K. J. Parker, "Multiple resolution bayesian segmentation of ultrasound images," Ultrason. Imag., vol. 17, pp. 291-304, 1999.
11. M. Mignotte, J. Meunier, and J.-C. Tardif, "Endocardial boundary estimation and tracking in echocardiographic images using deformable template andmarkov random fields," Pattern Anal. Appl., vol. 4, no. 4, pp. 256-271, 2001.
12. G. F. Xiao, M. Brady, J. A. Noble, and Y. Y. Zhang, "Segmentation of ultrasound B-mode images with intensity inhomogeneity correction," IEEE Trans. Med. Imag., vol. 21, no. 1, pp. 48-57, Jan. 2002.
13. D. Boukerroui, A. Baskurt, J. A. Noble, and O. Basset, "Segmentation of ultrasound images: multiresolution 2D and 3D algorithm based on global and local statistics," Pattern Recogn. Lett., vol. 24, no. 4-5, pp. 779-790, 2003.
14. A. Sarti, C. Corsi, E. Mazzini, and C. Lamberti, "Maximum likelihood segmentation of ultrasound images with rayleigh distribution," IEEE Trans. Ultrason., Ferroelectr., Freq. Control, vol. 52, no. 6, pp. 947-960, Jun. 2005.
15. Z. Tao and H. Tagare, "Evaluation of four probability distribution models for speckle in clinical cardiac ultrasound images," IEEE Trans. Med. Imag., vol. 25, no. 11, pp. 1483-1491, Nov. 2006.
16. Y. Zhu, X. Papademetris, A. J. Sinusas, and J. S. Duncan, "A coupled deformable model for tracking myocardial borders from real-time echocardiography using an incompressibility constraint," Med. Image Anal., vol. 14, pp. 429-448, 2010.
17. T. Eltoft, "The rician inverse gaussian distribution: A new model for nonrayleigh signal amplitude statistics," IEEE Trans. Image Process., vol. 14, no. 11, pp. 1722-1735, Nov. 2005.
18. T. Eltoft, "Modeling the amplitude statistics of ultrasonic images," IEEE Trans. Med. Imag., vol. 25, no. 2, pp. 1722-1735, Feb. 2006.
19. Z. Tao and H. Tagare, "Tunneling descent level set segmentation of ultrasound images," in Proc. Info. Med. Imag., 2005, pp. 750-761.
20. Z. Tao and H. D. Tagare, "Tunneling descent for m.a.p. active contours in ultrasound segmentation," Med. Image Anal., vol. 11, no. 3, pp. 266-281, 2007.
21. M. Alemán-Flores, L. Á lvarez, and V. Caselles, "Texture-oriented anisotropic filtering and geodesic active contours in breast tumor ultrasound segmentation," J. Math. Imag. Vision, vol. 28, no. 1, pp. 81-97, 2007.
22. M. C. Morrone, J. Ross, D. C. Burr, and R. Owens, "Mach bands are phase dependent," Nature, vol. 324, no. 6094, pp. 250-253, Nov. 1986.
23. M. C. Morrone and R. A. Owens, "Feature detection from local energy," Pattern Recogn. Lett., vol. 6, no. 5, pp. 303-313, 1987.
24. P. Kovesi, "Image features from phase congruency," J. Comput. Vis. Res., vol. 1, no. 3, pp. 1-26, 1999.
25. M. Mulet-Parada and J. A. Noble, "2D+T acoustic boundary detection in echocardiography," in MICCAI. London, U.K.: Springer-Verlag, 1998, pp. 806-813.
26. M. Mulet-Parada and J. Noble, "2D+T acoustic boundary detection in echocardiography," Med. Image Anal., vol. 4, no. 1, pp. 21-30, 2000.
27. I. Hacihaliloglu, R. Abugharbieh, A. Hodgson, and R. Rohling, "Bone segmentation and fracture detection in ultrasound using 3d local phase features," in MICCAI,Berlin,Heidelberg: Springer-Verlag, 2008, pp. 287- 295.
28. G. Läth́en, J. Jonasson, andM. Borga, "Phase based level set segmentation of blood vessels," in Proc. 19th ICPR, Tampa, FL: IAPR,Dec.2008, pp. 1- 4.
29. R. Ali, M. J. Gooding, M. Christlieb, and J. M. Brady, "Phase-based segmenation of cells with brightfield microscopy," in Proc. IEEE Symp. Biomed. Imag., 2007, pp. 57-60.
30. D. Boukerroui, J. A. Noble, M. C. Robini, and J. Brady, "Enhancement of contrast regions in sub-optimal ultrasound images with application to echocardiography," Ultrasound Med. Biol., vol. 27, no. 12, pp. 1583- 1594, 2001. (Pubitemid 34143120)
31. M. Mellor and M. Brady, "Phase mutual information as a similarity measure for registration," Med. Image Anal., vol. 9, no. 4, pp. 330-343, 2005.
32. V. Grau, H. Becher, and J. A. Noble, "Registration of multiview real-time 3-D echocardiographic sequences," IEEE Trans. Med. Imag., vol. 26, no. 9, pp. 1154-1165, Sep. 2007.
33. V. Murray, S. E. Murillo, M. S. Pattichis, C. P. Loizou, C. S. Pattichis, E.Kyriacou, andA.Nicolaides, "An AM-FMmodel for motion estimation in atherosclerotic plaque videos," in Proc. Asilomar Conf. Signals, Syst. Compt., Nov. 2007, pp. 746-750.
34. V. Murray, E. S. Barriga, P. Soliz, andM. S. Pattichis, "Survey of AM-FM methods for applications on medical imaging," in Proc. Ibero-American Conf. Trends Eng. Edu. Collab., Albuquerque, NM, Oct. 2009.
35. I. Kokkinos, G. Evangelopoulos, and P. Maragos, "Texture analysis and segmentation using modulation features, generative models, and weighted curve evolution," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 1, pp. 142-157, Jan. 2009.
36. M. Unser, D. Sage, and D. V. D. Ville, "Multiresolution monogenic signal analysis using the riesz-laplace wavelet transform," IEEE Trans. Image Process., vol. 18, no. 11, pp. 2402-2418, Nov. 2009.
37. M. S. Pattichis and A. C. Bovik, "Analyzing image structure by multidimensional frequency modulation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 5, pp. 753-766, May 2007.
38. V. Murray, P. Rodriguez, and M. S. Pattichis, "Multiscale AM-FM demodulation and image reconstruction methods with improved accuracy," IEEE Trans. Image Process., vol. 19, no. 5, pp. 1138-152, May 2010.
39. D. J. Fleet, D. J. Fleet, A. D. Jepson, A. D. Jepson, M. R. M. Jenkin, and M. R. M. Jenkin, "Phase-based disparity measurement," CVGIP: Image Understand., vol. 53, no. 2, pp. 198-210, 1991.
40. J. Zhou, Y. Xu, and X. Yang, "Quaternion wavelet phase based stereo matching for uncalibrated images," Pattern Recogn. Lett., vol. 28, no. 12, pp. 1509-1522, 2007.
41. D. Zang, L. Wietzke, C. Schmaltz, and G. Sommer, "Dense optical flow estimation from the monogenic curvature tensor," in SSVM, 2007, pp. 239- 250.
42. A. Wong, "Fast communication: Adaptive bilateral filtering of image signals using local phase characteristics," Signal Process., vol. 88, no. 6, pp. 1615-1619, 2008.
43. P. Kovesi, "Phase congruency detects corners and edges," in Proc. Aust. Pattern Recog. Soc. Conf.: DICTA, 2003, pp. 309-318.
44. M. Felsberg and G. Sommer, "A new extension of linear signal processing for estimating local properties and detecting features," in Proc. 22nd DAGM Symp. Mustererkennung, 2000, pp. 195-202.
45. M. Felsberg andG. Sommer, "The monogenic signal," IEEE Trans. Signal Process., vol. 49, no. 12, pp. 3136-3144, Dec. 2001.
46. M. Felsberg and G. Sommer, "The monogenic scale-space: A unifying approach to phase-based image processing in scale-space," J.Math. Imag. Vis., vol. 21, no. 1, pp. 5-26, 2004.
47. A. Belaid, D. Boukerroui, Y. Maingourd, and J.-F. Lerallut, "Phase based level set segmentation of ultrasound images," in Proc. 9th IEEE Int. Conf. Inf. Tech. App. Biomed., 2009.
48. A. V. Oppenheim and J. S. Lim, "The importance of phase in signals," Proc. IEEE, vol. 69, no. 5, pp. 529-541, May 1981.
49. G. H. Granlund and H. Knutsson, Signal Processing for Computer Vision. Norwell, MA: Kluwer Publ., 1995.
50. D. Boukerroui, J. A. Noble, and M. Brady, "On the choice of band-pass quadrature filters," J. Math. Imag. Vision, vol. 21, no. 1, pp. 53-80, 2004.
51. D. Boukerroui, J. A. Noble, andM. Brady, Frontiers in Robotics Research, M. A. Denket Ed. New York: Nova Publ., 2006, ch. On the Selection of Band-Pass Quadrature Filters, pp. 67-111..
52. R. Kimmel and A. M. Bruckstein, "Regularized laplacian zero crossings as optimal edge integrators," Int. J. Comp. Vision, vol. 53, no. 3, pp. 225- 243, 2003.
53. V. Caselles, R. Kimmel, and G. Sapiro, Handbook of Image and Video Processing, A. C. Bovik Ed., 2nd revised ed. New York: Academic, 2005, ch. Geometric active contours for image segmentation, pp. 613-629.
54. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," Int. J. Comp. Vision, vol. 22, no. 1, pp. 61-79, 1997.
55. R. Kimmel, "Fast edge integration," in Geometric Level Set Methods in Imaging, Vision, and Graphics. S. Osher and N. Paragios, Eds. New York: Springer, 2003, pp. 59-77.
56. L. R. Dice, "Measures of the amount of ecologic association between species," Ecology, vol. 26, no. 3, pp. 297-302, 1945.
57. V. Chalana, D. T. Linker, D. R. Haynor, and Y. Kim, "A multiple active contour model for cardiac boundary detection on echocardiographic sequences," IEEE Trans. Med. Imag., vol. 15, no. 3, pp. 290-298, Jun. 1996.
58. J. A. Jensen and N. B. Svendsen, "Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers," IEEE Trans. Ultrason., Ferroelec., Freq. Contr., vol. 39, no. 2, pp. 262-267, Mar. 1992.
59. J. A. Jensen, "Field: A program for simulating ultrasound systems," in Proc. 10th Nordic-Baltic Conf. Biomed. Imag., 1996, vol. 34, pp. 351- 353.
60. M. Alemán-Flores, L. Á lvarez-León, and V. Caselles, "Texture-oriented anisotropic filtering and geodesic active contours in breast tumor ultrasound segmentation," J. Math. Imag. Vision, vol. 28, no. 1, pp. 81-97, 2007.
61. S. Lankton and A. Tannenbaum, "Localizing region-based active contours," IEEE Trans. Image Process., vol. 17, no. 11, pp. 2029-2039, Nov. 2008.
62. T. Brox and D. Cremers, "On local region models and a statistical interpretation of the piecewise smooth mumford-shah functional," Int. J. Comp. Vision, vol. 84, no. 2, pp. 184-193, 2009.