Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지

Ventricle Image Restoration and Enhancement with Multi-thresholding and Multi-Filtering

  • Ryu, Kwang-Ryol (Department of Electronic Engineering, Mokwon University) ;
  • Jung, Eun-Suk (Department of Electronic Engineering, Mokwon University)
  • Published : 2009.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

Speckle noise reduction for power Doppler ventricle coherent image for restoration and enhancement using Fast Wavelet Transform with multi-thresholding and multi-filtering on the each subbands is presented. Fast Wavelet Transform divides into low frequency component image to high frequency component image to be multi-resolved. Speckle noise is located on high frequency component in multi-resolution image mainly. A Doppler ventricle image is transformed and inversed with separated threshold function and filtering from low to high resolved images for restoration to utilize visualization for ventricle diagnosis. The experimental result shows that the proposed method has better performance in comparison with the conventional method.

Keywords

References

  1. A. Macovski, Medical Imaging systems Prentice Hall. 1983
  2. T. R. Nelson and T .T. Elvins, "Visualization of 3D ultrasound data", IEEE Computer Graphics and Applications, vol. 13, pp. 50-57,Nov.1993 https://doi.org/10.1109/38.252557
  3. A. Renster and A. B. Downey, "3D-ultrasound imaging: A Review:, IEEE Engineering in Medicime and Biology Magazine, vol 15, pp.41-51, Nev-Dec. 1996 https://doi.org/10.1109/51.544511
  4. Z. H. Cho, J, P. Jones, and M. Sin, Foundation of Medical Image, John Wiley & Sons, 1994
  5. B. Burckhardt. "Speckle in ultrasound B-mode scans", IEEE Trans. on Sonics and Ultrasonics. vol. 1, pp.1-6, Jan. 1978
  6. Rafael C. Gonzalez and Richard E. Woods, Digital image Processing, Prentice-Hall, 2002
  7. J.S. Lee. "A simple speckle smoothing algorithm for synthetic aperture radar images, IEEE Trans. on system, man, and, cybernetics, vol. 1, pp.85-89, Feb.1983
  8. T. Loupas, "An Adaptive Weighted Median Filter for Speckle Suppression in Median Ultrasonic Image", IEEE Trans. Circuits Syst. vol. 36, no. 1, Jan,1989 https://doi.org/10.1109/31.16577
  9. Ali-Li Wang, et aI, "Simultaneous Speckle Reduction and SAR Image compression using Multiwavelet Transform", J. Electronic Science and Tech. of China, vol.5 no.2, pp.163-166, Jun. 2007
  10. Vinayak Dutt, "Statistical Analysis of Ultrasound Envelope", PH.D. dissertation, Mayo Graduate School, 1995