CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

A Study on Multi-scale Approach for Despeckling Ultrasound Image

Published on June 2015 by E. S. Samundeeswari, P.k. Saranya
journal_cover_thumbnail

National Conference on Research Issues in Image Analysis and Mining Intelligence
Foundation of Computer Science USA
NCRIIAMI2015 - Number 2
June 2015
Authors: E. S. Samundeeswari, P.k. Saranya
77895065-7df9-4bd3-acd9-576755e43cfe

E. S. Samundeeswari, P.k. Saranya . A Study on Multi-scale Approach for Despeckling Ultrasound Image. National Conference on Research Issues in Image Analysis and Mining Intelligence. NCRIIAMI2015, 2 (June 2015), 19-23.

@article{
author = { E. S. Samundeeswari, P.k. Saranya },
title = { A Study on Multi-scale Approach for Despeckling Ultrasound Image },
journal = { National Conference on Research Issues in Image Analysis and Mining Intelligence },
issue_date = { June 2015 },
volume = { NCRIIAMI2015 },
number = { 2 },
month = { June },
year = { 2015 },
issn = 0975-8887,
pages = { 19-23 },
numpages = 5,
url = { /proceedings/ncriiami2015/number2/21026-4026/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Research Issues in Image Analysis and Mining Intelligence
%A E. S. Samundeeswari
%A P.k. Saranya
%T A Study on Multi-scale Approach for Despeckling Ultrasound Image
%J National Conference on Research Issues in Image Analysis and Mining Intelligence
%@ 0975-8887
%V NCRIIAMI2015
%N 2
%P 19-23
%D 2015
%I International Journal of Computer Applications
Abstract

Digital image acquisition and processing technique plays an important role in medical diagnosis. Images of living objects are taken using various modalities such as X-ray, Ultrasound, Computed Tomography (CT), Magnetic Resonance Imaging (MRI) etc. During the acquisition process, various distortions in the images are founded, which will negatively affect the diagnosis process on captured images. There by advanced digital image processing techniques for improving the quality of acquired image by removing noise components present in it becomes important. Among various modalities of medical image acquisition, Ultrasound imaging which is non-invasive in nature and lower acquisition cost is the most used application of high-frequency sound waves to produce diagnostic images. Ultrasound images are degraded by an intrinsic artifact called ''speckle", which is the result of constructive and destructive coherent summation of ultrasound echoes. This paper discusses different types of filter techniques and multi-scale approach to suppress the speckle noise in ultrasound image.

References
  1. Alamelumangai. N, Dr. DeviShree. J, "An Ultrasound Image Preprocessing System Using Memetic ANFIS Method", International Conference on Biology, Environment and Chemistry IPCBEE vol. 1 (2011), IACSIT Press, Singapore.
  2. Alamelumangai, N, Dr. DeviShree. J, "Novel Fuzzy Technique for Cancer Detection in Noisy Breast Ultrasound Images", American Journal of Applied Sciences 9 (5): 779-783, ISSN 1546-9239, 2012.
  3. Anutam and Rajni, "Comparative analysis of filters and wavelet based thresholding methods for image denoising", The international journal of multimedia and its application (IJMA), vol 6- No 3, June 2014.
  4. Bhausaheb Shinde, Dnyandeo Mhaske, Machindra Patare, A. R. Dani , "Apply Different Filtering Techniques To Remove The Speckle Noise Using Medical Images" International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www. ijera. com Vol. 2, Issue 1,Jan-Feb 2012, pp. 1071-1079.
  5. Burckhardt C. B. , "Speckle in Ultrasound B Mode Scans", IEEE Trans. Sonics Ultrasonics 1978;25:1-6.
  6. Eveline Pregitha. R. , Dr. V. Jegathesan and C. Ebbie Selvakumar "Speckle noise reduction in ultrasound fetal images using edge preserving adaptive shoch filters",International Journal of Scientific and Research Publications, Volume 2, Issue 3, March 2012 - ISSN 2250-3153.
  7. Hiremath Prema. P. S, Akkasaligar . T and Sharan Badiger, "Speckle noise reduction in medical Ultrasound images", Advancements and Breakthroughs in Ultrasound Imaging, pages 201-242; ISBN InTech, Janeza Trdine 9, 51000 Rijeka, Croatia.
  8. Jaspreet kaur , Rajneet kaur , "Speckle Noise Reduction in Ultrasound Images Using Wavelets: A Review", International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 3, March 2013 ISSN: 2277 128X
  9. Juan L. Mateo, Antonio Fernández-Caballero, "Finding out general tendencies in speckle noise reduction in ultrasound images", Expert Systems with Applications 36 (2009) 7786–7797.
  10. Er. Manpreet Kaur and Er. Danvir Mandal, "Speckle noise Reduction in Medical Ultrasound images using Particle Swarm Optimization with Artificial Neural Networks: Comparative Approach", International Journal of Computer Science and Communication Vol. 2, No. 2, July - December 2011, pp. 543-547.
  11. Er. Manpreet Kaur, Er. Gagndeep Kaur, " A Survey on Implementation of Discrete Wavelet Transform for Image Denoising",International Journal of Communications Networking System, ISSN: 2278-2427,Vol 02, Issue 01, June 2013.
  12. Mariana carmen nicolae, Lumini?a moraru, Laura onose, "Comparative Approach for Speckle Reduction in Medical Ultrasound images", ROMANIAN J. BIOPHYS. , Vol. 20, No. 1, P. 13–21, Bucharest, 2010.
  13. Mohamed Saleh Abuazoum "Efficient Analysis Of Medical Image De-Noising For Mri And Ultrasound Images", Master's thesis, Universiti Tun Hussein Onn Malaysia, January 2012.
  14. Nishtha Attlas, Dr. Sheifali Gupta, "Wavelet Based Techniques for Speckle Noise Reduction in Ultrasound", Int. Journal of Engineering Research and Applications www. ijera. com ISSN : 2248-9622, Vol. 4, Issue 2( Version 1), February 2014, pp. 508-513 512.
  15. Prager R. W. , Gee A. H. , Treece G. M. , and Berman L. , "Speckle detection in ultrasound images using first order statistics", GUED/ F-INFENG/TR 415, University of Cam?bridge, Dept. of Engineering, July, 2002: 1–17.
  16. Prashant R. Deshmukh , Milindkumar V. Sarode , "Reduction of Speckle Noise and Image Enhancement of Images Using Filtering Technique", International Journal of Advancements in Technology ISSN 0976-4860 Vol 2, No 1 January 2011.
  17. Ragesh N. K, Anil . A. R, Dr. R. Rajesh, "Digital Image Denoising in Medical Ultrasound Images: A Survey", ICGST AIML-11 Conference, Dubai, UAE, 12-14 April 2011.
  18. Rakesh Kumar and B. S. Saini,"Improved Image Denoising Techniques Using Neighbouring Wavelet Coefficients of Optimal Wavelet with Adaptive Thresholding," International Journal of Computer Theory and Engineering, Vol. 4, No. 3, June 2012.
  19. Rupinderpal Kaur, Rajneet Kaur,"Survey of De-noising Methods Using Filters and Fast Wavelet Transform", International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 2, February 2013 ISSN: 2277 128X.
  20. Rupinderpal Kaur, Rajneet Kaur, "Image Denoising Based on Wavelet Techniques Using Thresholding for Medical Images", International Journal of Computer Trends and Technology (IJCTT) – ISSN: 2231-2803, volume 4 Issue 8– August 2013.
  21. Sachin D Ruikar, Dharmpal D Doye, "Wavelet Based Image Denoising Technique", (IJACSA) International Journal of Advanced Computer Science and Applications,Vol. 2, No. 3, March 2011.
  22. Sethunadh R and Tessamma Thomas, "Spatially Adaptive image denoising using Undecimated Directionlet Transform," International Journal of Computer Applications, Vol. 84, No. 11,December 2013.
  23. Sivakumar, Nedumaran. D, "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, November 2010.
  24. Sudha. S, Suresh. G. R and Sukanesh. R, "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 April 2009.
  25. Suganya Devi S, Dr Suganya Devi D "Effective Noise Reduction Techniques for Despeckling Ultrasound Medical Images", Journal of Computer Applications ISSN: 0974 – 1925, Volume-5, Issue EICA2012-1, February 10, 2012.
  26. Yongjian Y. and Acton S. T. "Speckle reducing anisotropic diffusion", IEEE Trans. Image Processing. Nov. 2002; 11(11):1260–1270.
  27. http://homepages. inf. ed. ac. uk/rbf/HIPR2/hipr_top. htm, "Image processing learning resource"
  28. Wikipedia - http://en. wikipedia. org/wiki
Index Terms

Computer Science
Information Sciences

Keywords

Medical Diagnosis Ultrasound Imaging Speckle Noise Despeckling Techniques.