CFP last date
15 January 2025
Call for Paper
February Edition
IJAIS solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 15 January 2025

Submit your paper
Know more
Reseach Article

Biomedical Ultrasound Image Enhancement using SRAD

Published on June 2013 by Madhuri Gedam, Hetal Amrutia, Nabnita Mandal
International Conference and workshop on Advanced Computing 2013
Foundation of Computer Science USA
ICWAC - Number 2
June 2013
Authors: Madhuri Gedam, Hetal Amrutia, Nabnita Mandal
f09dee26-5f4a-4f16-8ca8-6316e61c9c18

Madhuri Gedam, Hetal Amrutia, Nabnita Mandal . Biomedical Ultrasound Image Enhancement using SRAD. International Conference and workshop on Advanced Computing 2013. ICWAC, 2 (June 2013), 0-0.

@article{
author = { Madhuri Gedam, Hetal Amrutia, Nabnita Mandal },
title = { Biomedical Ultrasound Image Enhancement using SRAD },
journal = { International Conference and workshop on Advanced Computing 2013 },
issue_date = { June 2013 },
volume = { ICWAC },
number = { 2 },
month = { June },
year = { 2013 },
issn = 2249-0868,
pages = { 0-0 },
numpages = 1,
url = { /proceedings/icwac/number2/487-1324/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and workshop on Advanced Computing 2013
%A Madhuri Gedam
%A Hetal Amrutia
%A Nabnita Mandal
%T Biomedical Ultrasound Image Enhancement using SRAD
%J International Conference and workshop on Advanced Computing 2013
%@ 2249-0868
%V ICWAC
%N 2
%P 0-0
%D 2013
%I International Journal of Applied Information Systems
Abstract

In this paper we present Speckle Reducing Anisotropic Diffusion (SRAD) technique that uses wavelet decomposition. This technique is able to preserve and enhance edges while smoothing homogeneous regions in ultrasound images. SRAD is applied on various real biomedical ultrasound images with different number of iterations. The performance of SRAD filter is found to be much better than conventional Lee, Frost filters. SRAD gives less MSE, higher PSNR and better FOM. The experiemental results show that this technique works effectively both in terms of speckle reduction, edge preservation and edge enhancement.

References
  1. B. Yoo and T. Nishimura , "A Study of Ultrasound Image Enhancement Using Adaptive Speckle Reducing Anisotropic Diffusion," presented at IEEE International Symposium on Industrial Electronics ,pp. : 581-585,2009.
  2. K. Krissian, R. Kikinis and K. G. Vosaburgh,"Oriented Speckle Reducing Speckle Diffusion," presented at IEEE ransactions on Image Processing,vol. 16, No. 5,May 2007.
  3. Y. Yu and J. Yadegar , "Regularized Speckle Reducing Anisotropic Diffusion for Feature Characterization," presented at IEEE International Conference 2005.
  4. Y. Yu and S. T. Acton, "Speckle reducing anisotropic diffusion, "IEEE Trans. Image Process. , vol. 11, no. 11,pp. 1260-1270,Nov. 2002.
  5. S. T. Acton, "Deconvolutional Speckle Reducing Anisotropic Diffusion," presented at Image Processing, 2005, ICIP 2005. IEEE International Conference on, 2005.
  6. S. Sudha, G. R. Suresh and R. Sukanesh, "Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding based on Weighted Variance," International Journal of Computer Theory and Engineering, Vol. 1, No. 1, April 2009.
  7. X. Zhi, T. Wang, "An Anisotropic Diffusion Filter for Ultrasonic Speckle Reduction," presented at Institution of Engineering and Technology 2008.
  8. B. Yoo, H. Park, J. Ryu, K. Hwang, T. Nishimura, "Wavelet Decomposition Based Speckle Reduction Method for Ultrasound Images by Using Speckle Reducing Anisotropic Diffusion," presented at World Congress on Engineering and Computer Science,2008.
  9. M. Mansourpour, M. A. Rajabi, J. A. R. Blais, "Effects and performance of speckle noise reduction filters on active radar and SAR images" .
  10. Li Ri, S. Zhuoxin, Z. Cishen, "Adaptive Filter for Speckle Reduction with Feature Preservation in Medical Ultrasound Images," presented at 10th Intl. Conf on Control, Automation, Robotics and Vision, December 2008.
  11. S. K. Narayanan, R. S. D. Wahidabanu, "A view of Despeckling in Ultrasound Imaging," International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 2, no. 3, September 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Image Enhancement SRAD