A versatile technique for visual enhancement of medical ultrasound images

Digital Signal Processing: A Review Journal

Volumn 17, Issue 3, 2007, Pages 542-560

  Gupta, S ^a   Kaur, L ^a   Chauhan, R C ^b   Saxena, S C ^c  

^a SANT LONGOWAL INSTITUTE OF ENGINEERING AND TECHNOLOGY   (India)

^b Lovely Institute of Engineering and Technology   (India)

^c INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Generalized Nakagami distribution (GND); MAP estimator; Redundant discrete wavelet transform (RDWT); Speckle reduction; Ultrasound image

Indexed keywords

DISCRETE WAVELET TRANSFORMS; GAUSSIAN DISTRIBUTION; IMAGE ENHANCEMENT; MEDICAL IMAGING; WAVELET ANALYSIS;

GENERALIZED GAUSSIAN DISTRIBUTION (GGD); GENERALIZED NAKAGAMI DISTRIBUTION (GND); MAP ESTIMATORS; REDUNDANT DISCRETE WAVELET TRANSFORM (RDWT); SPECKLE REDUCTION;

ULTRASONIC IMAGING;

EID: 34047258485     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2006.12.001     Document Type: Article

References (39)

1. Loizou C.P., Pattichis C.S., Pantziaris M., Istepanian R.S.H., Pantziaris M., Tyllis T., and Nicolaides A. Quantitative quality evaluation in ultrasound imaging in carotid artery. Med. Biol. Eng. Comput. 44 5 (2006) 414-426
2. Loizou C.P., Pattichis C.S., Christodoulou C.I., Istepanian R.S.H., Pantziaris M., and Nicolaides A. Comparative evaluation of despeckle filtering in ultrasound imaging of carotid artery. IEEE Trans. Ultrason. Ferroelectr. Frequency Control 52 5 (2005) 1653-1669
3. Yu Y., and Acton S.T. Speckle reducing anisotropic diffusion. IEEE Trans. Image Process. 11 11 (2002) 1260-1270
4. Wells P.N.T., and Halliwell M. Speckle in ultrasonic imaging. Ultrasonic 19 (1981) 225-290
5. Wagner R.F., Insana M.F., and Brown D.G. Statistical properties of radio-frequency and envelop detected signals with application to medical ultrasound. J. Opt. Soc. Am. 19 (1987) 225-229
6. Kremkau F.W., and Taylor K.J.W. Artefacts in ultrasound imaging. J. Ultrasound Med. 5 (1986) 227-237
7. Gupta S., Chauhan R.C., and Saxena S.C. A wavelet based statistical approach for speckle reduction in medical ultrasound images. IEE J. Int. Fed. Med. Biol. Eng. 42 (2004) 189-192
8. S.H. Xiang, Y.T. Zhang, Maximization of the signal-to-noise ratio for two-dimensional medical ultrasound transducer sensitivity improvement by denoising wavelets, in: Proc. Int. Conf. Biomedical Engineering, Hong Kong, June 3-5, 1996
9. Zong X., Laine A.F., and Geiser E.A. Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing. IEEE Trans. Med. Imag. 17 (1998) 532-540
10. A. Achim, A. Bezerianos, P. Tsakalides, Ultrasound image denoising via maximum a posteriori estimation of wavelet coefficients, in: Proc. of EMBS 23rd Annual International Conference of IEEE, vol. 3, 2001, pp. 2553-2556
11. Gupta S., Chauhan R.C., and Saxena S.C. Homomorphic wavelet thresholding technique for denoising medical ultrasound images. Taylor & Francis Int. J. Med. Eng. Technol. 29 5 (2005) 208-214
12. Michailovich O.V., and Tannenbaum A. Despeckling of medical ultrasound images. IEEE Trans. Ultrason. Ferroelectr. Frequency Control 53 1 (2006)
13. Pižurica A., Philips W., Lemahieu I., and Acheroy M. A versatile wavelet domain noise filtration technique for medical imaging. IEEE Trans. Med. Imag. 22 3 (2003)
14. Gupta S., Chauhan R.C., and Saxena S.C. A robust multi-scale non-homomorphic approach to speckle reduction in medical ultrasound images. IEE J. Int. Fed. Med. Biol. Eng. 152 1 (2005) 129-135
15. Foucher S., Bénié G.B., and Boucher J. Multiscale MAP filtering of SAR images. IEEE Trans. Image Process. 10 1 (2001) 49-60
16. Xie H., Pierce L., and Ulaby F.T. Despeckling SAR images using a low-complexity wavelet denoising process. Proc. IEEE (2002) 321-324
17. Yue Y., Croitoru M.M., Bidani A., Zwischenberger J.B., and Clark J.W. Non-linear multiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images. IEEE Trans. Med. Imag. 25 3 (2006)
18. Shankar P.M. Ultrasonic tissue characterization using a generalized Nakagami model. IEEE Trans. Ultrason. Ferroelectr. Frequency Control 48 6 (2001) 1716-1720
19. Jain A.K. Fundamentals of Digital Image Processing (1989), Prentice Hall, Englewood Cliffs, NJ
20. Shankar P., Reid J., Ortega H., Piccoli C., and Goldberg B. Use of non-Rayleigh statistics for the identification of tumors in ultrasonic B-scans of the breast. IEEE Trans. Med. Imag. 12 4 (1993) 685-692
21. Shankar P.M. A model for ultrasonic scattering from tissues based on K-distribution. Phys. Med. Biol. 40 (1995) 1633-1649
22. Shankar P.M., Dumane V.A., Reid J.M., Genis V., Forberg F., Piccoli C.W., and Goldberg B.B. Classification of ultrasonic B-mode images of breast masses using Nakagami distribution. IEEE Trans. Ultrason. Ferroelectr. Frequency Control 48 2 (2001) 569-580
23. Ghofrani S., Jahed-Motlagh M.R., and Ayatollahi A. An adaptive speckle suppression filter based on Nakagami distribution. Proc. IEEE (2001) 84-87
24. Mallat S. A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. Patterns Anal. Machine Intell. 11 (1989) 674-692
25. Lang M., Guo H., Odegard J.E., Burrus C.S., and Wells Jr. R.O. Noise reduction using an undecimated discrete wavelet transform. IEEE Signal Process. Lett. 3 (1996) 10-12
26. Kuan D.T., Sawchuk A.A., Strand T.C., and Chavel P. Adaptive noise smoothing filter for images with signal dependent noise. IEEE Trans. Pattern Anal. Machine Intell. PAMI-7 (1985) 165-177
27. Dai M., Peng C., Chan A.K., and Loguinov D. Bayesian wavelet shrinkage with edge detection for SAR image despeckling. IEEE Trans. Geosci. Remote Sens. 42 8 (2004) 1642-1648
28. Chang G., Yu B., and Vetterli M. Adaptive wavelet thresholding for image denoising and compression. IEEE Trans. Image Proc. 9 9 (2000) 1532-1546
29. Abd-Elmoniem K.Z., Youssef A.M., and Kadah Y.M. Real-time speckle reduction and coherence enhancement in ultrasound imaging via non-linear and isotropic diffusion. IEEE Trans. Biomed. Eng. 49 9 (2002) 997-1014
30. Na S., and Neuhoff D.L. On the support of MSE optimal, fixed-rate scalar quantizers. IEEE Trans. Inform. Theory 47 7 (2001)
31. Stacy E.W., and Mihram G.A. Parameter estimation for a generalized Gamma distribution. Technometrics 7 3 (1965) 349-357
32. Moulin P., and Liu J. Analysis of multiresolution image denoising schemes using generalized Gaussian and complexity priors. IEEE Trans. Inform. Theory 45 (1999) 909-919
33. Donoho D.L. De-noising by soft-thresholding. IEEE Trans. Inform. Theory 41 (1995) 613-627
34. Simard M., DeGrandi G., Thomson K.P.B., and Benie G.B. Analysis of speckle noise contribution on wavelet decompositions of SAR images. IEEE Trans. Geo-Sci. Remote Sens. 36 6 (1998) 1953-1962
35. Sattar F., Floreby L., Salomonsson G., and Lovstrom B. Image enhancement based on a nonlinear multiscale method. IEEE Trans. Image Process. 6 9 (1997) 888-895
36. R.W. Ives, P. Eichel, N. Magotra, A new SAR image quality metric, in: Proceedings of 42nd IEEE Midwest Symposium on Circuits and Systems, vol. 2, pp. 1143-1145
37. Wang Z., and Bovik A. A universal quality index. IEEE Signal Process. Lett. 9 3 (2002) 81-84
38. Wang Z., Bovik A.C., Sheikh H.R., and Simoncelli E.P. Image quality assessment: From error visibility to structural similarity. IEEE Trans. Image Process. 13 4 (2004) 600-612
39. Lee J.S. Speckle analysis and smoothing of synthetic aperture radar images. Comp. Graphics Image Process. 17 (1981) 24-32