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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 2, Iss. 1 — Jan. 10, 2004
  • pp: 24–26

Adaptive speckle reduction of ultrasound images based on maximum likelihood estimation

Xu Liu, Yongfeng Huang, Wende Shou, and Tao Ying  »View Author Affiliations


Chinese Optics Letters, Vol. 2, Issue 1, pp. 24-26 (2004)


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Abstract

A method has been developed in this paper to gain effective speckle reduction in medical ultrasound images. To exploit full knowledge of the speckle distribution, here maximum likelihood was used to estimate speckle parameters corresponding to its statistical mode. Then the results were incorporated into the nonlinear anisotropic diffusion to achieve adaptive speckle reduction. Verified with simulated and ultrasound images, we show that this algorithm is capable of enhancing features of clinical interest and reduces speckle noise more efficiently than just applying classical filters. To avoid edge contribution, changes of contrast-to-noise ratio of different regions are also compared to investigate the performance of this approach.

© 2005 Chinese Optics Letters

OCIS Codes
(100.0100) Image processing : Image processing
(100.2980) Image processing : Image enhancement
(110.4280) Imaging systems : Noise in imaging systems

Citation
Xu Liu, Yongfeng Huang, Wende Shou, and Tao Ying, "Adaptive speckle reduction of ultrasound images based on maximum likelihood estimation," Chin. Opt. Lett. 2, 24-26 (2004)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-2-1-24


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References

  1. C. Kotropoulos, X. Magnisalis, I. Pitas, and M. G. Strintzis, IEEE Trans. Image Processing 3, 65 (1994).
  2. A. Hammoude, Computerized Medical Imaging and Graphics 22, 181 (1998).
  3. R. F. Wagner, S. W. Smith, J. M. Sandrik, and H. Lopez, IEEE Trans. Sonics and Ultrasonics 30, 156 (1983).
  4. T. Loupes, W. N. Mcdicken and P. L. Allan, IEEE Trans. Circuits and Systems, 36, 129 (1989).
  5. A. P. Witkin, in Proceedings of the 4th International Joint Conference on Artificial Intelligence 1019 (1983).
  6. G. Gerig, O. Kubler, R. Kikinis, and F. A. Jolesz, IEEE Trans. Medical Imaging 11, 221 (1992).
  7. P. Perona and J. Malik, IEEE Trans. Pattern Analysis and Machine Intelligence 12, 629 (1990).
  8. J. Monteil and A. Beghdadi, IEEE Trans. Pattern Analysis and Machine Intelligence 21, 940 (1999).
  9. J. Sijbers, A. J. den Dekker, P. Scheunders, and D. V. Dyck, IEEE Trans. Medical Imaging 17, 357 (1998).

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