Nonlinear diffusion in laplacian pyramid domain for ultrasonic speckle reduction

IEEE Transactions on Medical Imaging

Volumn 26, Issue 2, 2007, Pages 200-211

  Zhang, Fan ^b   Yoo, Yang Mo ^c   Koh, Liang Mong ^b   Kim, Yongmin ^a,c  

^a IEEE   (United States)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c University of Washington   (United States)

Author keywords

Laplacian pyramid; Multiscale analysis; Non linear diffusion; Speckle reduction; Ultrasound imaging

Indexed keywords

LAPLACIAN PYRAMID; MULTISCALE ANALYSIS; NON-LINEAR DIFFUSION; SPECKLE REDUCTION; ULTRASOUND IMAGING;

COHERENT LIGHT; DIFFUSION; EDGE DETECTION; IMAGE QUALITY; LAPLACE TRANSFORMS; MEDICAL PROBLEMS; ULTRASONIC APPLICATIONS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFACT; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; NONLINEAR SYSTEM; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFACTS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; NONLINEAR DYNAMICS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY;

EID: 33847655159     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2006.889735     Document Type: Article

References (45)

1. C. B. Burckhardt, "Speckle in ultrasound B-mode scans," IEEE Trans. Sonics Ultrason., vol. 25, no. 1, pp. 1-6, Jan. 1987.
2. Y. M. Kadah, A. A. Farag, J. M. Zurada, A. M. Badawi, and A. B. Youssef, "Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images," IEEE Trans. Med. Imag., vol. 15, no. 4, pp. 466-478, Aug. 1996.
3. M. O'Donnell and S. D. Silverstein, "Optimum displacement for compound image generation in medical ultrasound," IEEE Trans. Ultrason. Ferroelect. Freq. Contr., vol. 35, no. 4, pp. 470-476, Jul. 1988.
4. G. E. Trahey, J. W. Allison, S. W. Smith, and O. T. von Ramm, "A quantitative approach to speckle reduction via frequency compounding," Ultrason. Imag., vol. 8, no. 3, pp. 151-164, 1986.
5. P.-C. Li and M.-J. Chen, "Strain compounding: A new approach for speckle reduction," IEEE Trans. Ultrason. Ferroelect. Freq. Contr., vol. 49, no. 1, pp. 39-46, Jan. 2002.
6. J. C. Bamber and C. Daft, "Adaptive filtering for reduction of speckle in ultrasound pulse-echo images," Ultrasonics, vol. 24, no. 1, pp. 41-44, 1986.
7. V. Dutt and J. F. Greenleaf, "Adaptive speckle reduction filter for logcompressed B-scan images," IEEE Trans. Med. Imag., vol. 15, no. 6, pp. 802-813, Dec. 1996.
8. T. Loupas, W. N. Mcdicken, and P. L. Allan, "An adaptive weighted median filter for speckle suppression in medical ultrasonic images," IEEE Trans. Circuits Syst., vol. 36, no. 1, pp. 129-135, Jan. 1989.
9. R. N. Czerwinski, D. L. Jones, and W. D. O'Brien, "Detection of lines and boundaries in speckle images-Application to medical ultrasound," IEEE Trans. Med. Imag., vol. 18, no. 2, pp. 126-136, Feb. 1999.
10. J. I. Koo and S. B. Park, "Speckle reduction with edge preservation in medical ultrasonic images using a homogeneous region growing mean filter (HRGMF)," Ultrason. Imag., vol. 13, no. 3, pp. 211-237, 1991.
11. M. Karaman, M. A. Kutay, and G. Bozdagi, "An adaptive speckle suppression filter for medical ultrasonic imaging," IEEE Trans. Med. Imag., vol. 14, no. 2, pp. 283-292, Jun. 1995.
12. Y. Chen, R. M. Yin, P. Flynn, and S. Broschat, "Aggressive region growing for speckle reduction in ultrasound images," Pattern Recognition Lett., vol. 24, no. 4-5, pp. 677-691, 2003.
13. H.-C. Huang, J.-Y. Chen, S.-D. Wang, and C.-M. Chen, "Adaptive ultrasonic speckle reduction based on the slope-facet model," Ultrasound Med. Biol, vol. 29, no. 8, pp. 1161-1175, 2003.
14. Y. J. Yu and S. T. Acton, "Speckle reducing anisotropic diffusion," IEEE Trans. Image Process., vol. 11, no. 11, pp. 1260-1270, Nov. 2002.
15. K. Z. Abd-Elmoniem, A. M. Youssef, and Y. M. Kadah, "Real-time speckle reduction and coherence enhancement in ultrasound imaging via nonlinear anisotropic diffusion," IEEE Trans. Biomed. Eng., vol. 49, no. 9, pp. 997-1014, Sep. 2002.
16. X. Zong, A. F. Laine, and E. A. Geiser, "Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing," IEEE Trans. Med. Imag., vol. 17, no. 4, pp. 532-540, Aug. 1998.
17. X. Hao, S. Gao, and X. Gao, "A novel multiscale nonlinear thresholding method for ultrasonic speckle suppressing," IEEE Trans. Med. Imag., vol. 18, no. 9, pp. 787-794, Sep. 1999.
18. A. Achim, A. Bezerianos, and P. Tsakalides, "Novel bayesian multiscale method for speckle removal in medical ultrasound images," IEEE Trans. Med. Imag., vol. 20, no. 8, pp. 772-783, Aug. 2001.
19. H. Xie, L. Pierce, and F. T. Ulaby, "SAR speckle reduction using wavelet denoising and markov random field modeling," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 10, pp. 2196-2212, Oct. 2002.
20. N. Gupta, M. N. S. Swamy, and E. Plotkin, "Despeckling of medical ultrasound images using data and rate adaptive lossy compression," IEEE Trans. Med. Imag., vol. 24, no. 6, pp. 743-754, Jun. 2005.
21. A. Pizurica, W. Philips, I. Lemahieu, and M. Acheroy, "A versatile wavelet domain noise filtration technique for medical imaging," IEEE Trans. Med. Imag., vol. 22, no. 3, pp. 323-331, Mar. 2003.
22. F. Sattar, L. Floreby, G. Salomonsson, and B. Lövström, "Image enhancement based on a nonlinear multiscale method," IEEE Trans. Image Process., vol. 6, no. 6, pp. 888-895, Jun. 1997.
23. B. Aiazzi, L. Alparone, S. Baronti, and F. Lotti, "Multiresolution localstatistics speckle filtering based on a ratio Laplacian pyramid," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 5, pp. 1466-1476, Sep. 1998.
24. D. T. Kuan, A. A. Sawchuk, T. C. Strand, and P. Chavel, "Adaptive noise smoothing filter for images with signal dependent noise," IEEE Trans. Pattern Anal. Mach. Intell., vol. 7, no. 2, pp. 165-177, 1985.
25. F. Zhang and L. M. Koh, "A novel multiscale nonlinear diffusion method for ultrasonic speckle reduction," in Proc. 4th IEEE Int. Symp. Signal Process. Inf. Technol., Rome, Italy, 2004, pp. 34-37.
26. P. J. Burt and E. A. Adelson, "The Laplacian pyramid as a compact image code," IEEE Trans. Commun., vol. Com-31, no. 4, pp. 532-540, Apr. 1983.
27. V. P. Melnik, I. Shmulevich, K. Egiazarian, and J. Astola, "Image denoising based on locally-adaptive filtering in the median pyramidal transform domain," presented at the IEEE-EURASIP Workshop Nonlinear Signal Image Process. (NSIP-01), Baltimore, MD, 2001.
28. V. P. Melnik, I. Shmulevich, K. Egiazarian, and J. Astola, "Block-median pyramidal transform: Analysis and denoising applications," IEEE Trans. Signal Process., vol. 49, no. 2, pp. 364-372, Feb. 2001.
29. 2 polynomial spline pyramid," IEEE Trans. Pattern Anal. Mach. Intell., vol. 15, no. 4, pp. 364-379, Apr. 1993.
30. J. Goutsias and A. M. Heijmans, "Nonlinear multiresolution signal decomposition schemes-Part I: Morphological pyramids," IEEE Trans. Image Process., vol. 9, no. 11, pp. 1862-1876, Nov. 2000.
31. P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," IEEE Trans. Pattern Anal. Mach. Intell., vol. 12, no. 7, pp. 629-639, Jul. 1990.
32. D. Kunz, K. Eck, H. Filibrandt, and T. Aach, "A nonlinear multi-resolution gradient adaptive filter for medical images," Proc. SPIE Med. Imag., vol. 5032, pp. 732-742, 2003.
33. 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.
34. J. S. Jin, Y. Wang, and J. Hiller, "An adaptive nonlinear diffusion algorithm for filtering medical images," IEEE Trans. Inf. Tech. Biomed., vol. 4, no. 4, pp. 298-305, Dec. 2000.
35. M. J. Black, G. Sapiro, D. H. Marimont, and D. Heeger, "Robust anisotropic diffusion," IEEE Trans. Image Process., vol. 7, no. 3, pp. 421-432, Mar. 1998.
36. A. Spira, N. Sochen, and R. Kimmel, "Geometric filters, diffusion flows, and kernels in image processing," in Handbook of Computational Geometry for Pattern Recognition, Computer Vision, Neurocomputing and Robotics, E. Bayro-Corrochano, Ed. New York: Springer Verlag, 2005, pp. 203-230.
37. P. Mrázek, J. Weickert, G. Steidl, and M. Welk, "On iterations and scales of nonlinear filters," in Proc. Computer Vision Winter Workshop, O. Drbohlav, Ed., Valtice, Czech Republic, Feb. 2003, pp. 61-66.
38. J. Weickert, B. ter Haar Romeny, and M. Viergever, "Efficient and reliable schemes for nonlinear diffusion filtering," IEEE Trans. Image Process., vol. 7, no. 3, pp. 398-410, Mar. 1998.
39. J. Weickert, "Coherence-enhancing diffusion of colour images," Image Vision Comput., vol. 17, no. 3, pp. 201-212, 1999.
40. P. Mrázek and M. Navara, "Selection of optimal stopping time for nonlinear diffusion filtering," Int. J. Comput. Vision, vol. 52, pp. 189-203, May 2003.
41. S. T. Acton, "Multigrid anisotropic diffusion," IEEE Trans. Image Process., vol. 7, no. 3, pp. 280-291, Mar. 1998.
42. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, Apr. 2004.
43. Y. Chen, S. Broschat, and P. Flynn, "Phase insensitive homomorphic image processing for speckle reduction," Ultrason. Imag., vol. 18, no. 2, pp. 122-139, 1996.
44. J. T. M. Verhoeven, J. M. Thijssen, and A. G. M. Theeuwes, "Improvement of lesion detection by echographic image processing: Signal-tonoise-ratio imaging," Ultrason. Imag., vol. 13, no. 3, pp. 238-251, 1991.
45. G. Steidl, J. Weickert, T. Brox, P. Mrazek, and M. Welk, "On the equivalence of soft wavelet shrinkage, total variation diffusion, total variation regularization, and SIDEs," SIAM J. Numer. Anal., vol. 42, no. 2, pp. 686-713, 2004.