| Peer-Reviewed

Speckle Noise Reduction in Fetal Ultrasound Images

Received: 26 July 2015     Accepted: 18 August 2015     Published: 29 August 2015
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Abstract

This research offers an innovative way to reduce the speckle noise which associated with the ultrasound imaging. This in turn leads to improving the input image and raise the human diagnostic performance. It uses an Undecimated Wavelet Transform UWT to decompose the image signal to the coefficients, to take the diagonal coefficient and applied Independent Directional Mask after replacing the value of each pixel in this coefficient with the corresponding pixel in the original image, this result yields after applying median filter in case the value of the pixel is smaller than the threshold value which is pre-specified. Then we apply the Smoothing Directional filter and re-directed the formation of the new diagonal coefficient, and then make the inverse undecimated wavelet transform IUWT to form the resulting image after reducing the noise of it (De-speckled Image). The used method showed a clear improvement on several ultrasound images via traditional statistical measurements (PSNR and MSE) and outperformed the other methods which used in common to reduce the speckle noise.

Published in International Journal of Biomedical Engineering and Clinical Science (Volume 1, Issue 1)
DOI 10.11648/j.ijbecs.20150101.12
Page(s) 10-14
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Undecimated Wavelet Transform, Smoothing Directional Filter, Independent Directional Mask, Ultrasound Images, Speckle Noise

References
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[2] Wenli Liu, Peng He, Hui Li, Hongbo Yu, 2012 - Improvement on the Algorithm of Homomorphic Filtering. Communication and Electronic Engineering Institute, Qiqihar University, Vol.11.
[3] Lakhwinder Kaur, 2005- Image Denoising using Wavelet Thresholding. Dept. of CSE. SLIET, Longowal SLIET, Longowal Punjab.
[4] M. N. Nobi, 2011- A New Method to Remove Noise in Magnetic Resonance and Ultrasound Images. Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, J. Sci. Res. 3 (1), 81-89.
[5] Kanwaljot Singh Sidhu, 2012- Medical Image Denoising In The Wavelet Domain Using Haar And DB3 Filtering. International Refereed Journal of Engineering and Science (IRJES) ISSN (Online) 2319-183X, (Print) 2319-1821 Volume 1, Issue 1.
[6] Tanay Mondal, 2014- Denoising and Compression of Medical Image in Wavelet 2D. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 2 Issue: 2.
[7] Akhilesh Bijalwan, 2012-Wavelet Transform Based Image Denoise Using Threshold Approaches. International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-1, Issue-5.
[8] J.N. Ellinas, 2011- THE STATISTICAL MODELING OF WAVELET COEFFICIENTS AS A TOOL FOR IMAGE DE-NOISING. T.E.I of Piraeus, 250 P. Ralli & Thivon, 122 44 Egaleo, Greece.
[9] Kanwaljeet Kaur, 2012- RESEARCH ON SPATIAL FILTERS AND HOMOMORPHIC FILTERING METHODS. Journal of Global Research in Computer Science, Volume 3, No. 11.
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[12] Mathur U, 2011- REMOVAL OF SPECKLE NOISE FROM EYE IMAGES THROUGH BACTERIAL FORAGING OPTIMISATION. International Journal of Advanced Engineering Technology, IJAET, Vol.2, Issue I, 112-119
[13] Gu Hailan, 2012- A Modified Homomorphic Filter for Image Enhancement. International Conference on Computer Application and System Modeling.
[14] MARIANA CARMEN NICOLAE, 2010- COMPARATIVE APPROACH FOR SPECKLE REDUCTION IN MEDICAL ULTRASOUND IMAGES, National Conference of Biophysics, Cluj-Napoca, October, Vol. 20, No. 1, P. 13–21.
[15] Richa Gupta, 2014 - Noise Reduction: A Comparative Study of Different Filters. International Journal of Current Engineering and Technology, E-ISSN 2277 – 4106, P-ISSN 2347 - 5161.
[16] Faouzi Benzarti, 2012- Speckle Noise Reduction in Medical Ultrasound Images. Signal, Image and Pattern Recognition Laboratory (TSIRF) ENIT.
[17] R. Sivakumar, 2010- Comparative study of Speckle Noise Reduction of Ultrasound B-scan Images in Matrix Laboratory Environment. International Journal of Computer Applications (0975 – 8887)Volume 10– No.9.
[18] Navjot Kaur, 2013- An Approach for Speckle Noise Reduction from US Images using Enhanced Sticks Filtering. International Journal of Computer Science and Communication Engineering Volume 2 Issue 1, ISSN: 2319-7080.
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[20] S.Sudha, 2009- Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding based on Weighted Variance. International Journal of Computer Theory and Engineering, Vol. 1, No. 1, 1793-8201.
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Cite This Article
  • APA Style

    Zaid Kraitem, Mariam Saii, Issa Ibraheem. (2015). Speckle Noise Reduction in Fetal Ultrasound Images. International Journal of Biomedical Engineering and Clinical Science, 1(1), 10-14. https://doi.org/10.11648/j.ijbecs.20150101.12

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    ACS Style

    Zaid Kraitem; Mariam Saii; Issa Ibraheem. Speckle Noise Reduction in Fetal Ultrasound Images. Int. J. Biomed. Eng. Clin. Sci. 2015, 1(1), 10-14. doi: 10.11648/j.ijbecs.20150101.12

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    AMA Style

    Zaid Kraitem, Mariam Saii, Issa Ibraheem. Speckle Noise Reduction in Fetal Ultrasound Images. Int J Biomed Eng Clin Sci. 2015;1(1):10-14. doi: 10.11648/j.ijbecs.20150101.12

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  • @article{10.11648/j.ijbecs.20150101.12,
      author = {Zaid Kraitem and Mariam Saii and Issa Ibraheem},
      title = {Speckle Noise Reduction in Fetal Ultrasound Images},
      journal = {International Journal of Biomedical Engineering and Clinical Science},
      volume = {1},
      number = {1},
      pages = {10-14},
      doi = {10.11648/j.ijbecs.20150101.12},
      url = {https://doi.org/10.11648/j.ijbecs.20150101.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbecs.20150101.12},
      abstract = {This research offers an innovative way to reduce the speckle noise which associated with the ultrasound imaging. This in turn leads to improving the input image and raise the human diagnostic performance. It uses an Undecimated Wavelet Transform UWT to decompose the image signal to the coefficients, to take the diagonal coefficient and applied Independent Directional Mask after replacing the value of each pixel in this coefficient with the corresponding pixel in the original image, this result yields after applying median filter in case the value of the pixel is smaller than the threshold value which is pre-specified. Then we apply the Smoothing Directional filter and re-directed the formation of the new diagonal coefficient, and then make the inverse undecimated wavelet transform IUWT to form the resulting image after reducing the noise of it (De-speckled Image). The used method showed a clear improvement on several ultrasound images via traditional statistical measurements (PSNR and MSE) and outperformed the other methods which used in common to reduce the speckle noise.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Speckle Noise Reduction in Fetal Ultrasound Images
    AU  - Zaid Kraitem
    AU  - Mariam Saii
    AU  - Issa Ibraheem
    Y1  - 2015/08/29
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ijbecs.20150101.12
    DO  - 10.11648/j.ijbecs.20150101.12
    T2  - International Journal of Biomedical Engineering and Clinical Science
    JF  - International Journal of Biomedical Engineering and Clinical Science
    JO  - International Journal of Biomedical Engineering and Clinical Science
    SP  - 10
    EP  - 14
    PB  - Science Publishing Group
    SN  - 2472-1301
    UR  - https://doi.org/10.11648/j.ijbecs.20150101.12
    AB  - This research offers an innovative way to reduce the speckle noise which associated with the ultrasound imaging. This in turn leads to improving the input image and raise the human diagnostic performance. It uses an Undecimated Wavelet Transform UWT to decompose the image signal to the coefficients, to take the diagonal coefficient and applied Independent Directional Mask after replacing the value of each pixel in this coefficient with the corresponding pixel in the original image, this result yields after applying median filter in case the value of the pixel is smaller than the threshold value which is pre-specified. Then we apply the Smoothing Directional filter and re-directed the formation of the new diagonal coefficient, and then make the inverse undecimated wavelet transform IUWT to form the resulting image after reducing the noise of it (De-speckled Image). The used method showed a clear improvement on several ultrasound images via traditional statistical measurements (PSNR and MSE) and outperformed the other methods which used in common to reduce the speckle noise.
    VL  - 1
    IS  - 1
    ER  - 

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Author Information
  • PhD Student in Department of Computer Engineering, Faculty of Electronic and Electrical Engineering, Tishreen University, Latakia, Syria

  • Department of Computer Engineering, Faculty of Electronic and Electrical Engineering, Tishreen University, Latakia, Syria

  • Department of Medical Engineering, Faculty of Medical Engineering, Damascus University, Damascus, Syria

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