Speckle Noise Reduction in Fetal Ultrasound Images

Zaid Kraitem; Mariam Saii; Issa Ibraheem

doi:doi:10.11648/j.ijbecs.20150101.12

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Speckle Noise Reduction in Fetal Ultrasound Images

Zaid Kraitem, Mariam Saii, Issa Ibraheem

Published in International Journal of Biomedical Engineering and Clinical Science (Volume 1, Issue 1)

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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[16]	Faouzi Benzarti, 2012- Speckle Noise Reduction in Medical Ultrasound Images. Signal, Image and Pattern Recognition Laboratory (TSIRF) ENIT.
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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

Zaid Kraitem

PhD Student in Department of Computer Engineering, Faculty of Electronic and Electrical Engineering, Tishreen University, Latakia, Syria
Mariam Saii

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

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

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Plain Text BibTeX RIS

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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download