CFP last date
22 April 2024
Reseach Article

Comparative Analysis of B-Mode Breast Ultrasound Image Enhancement Techniques

by Madan Lal, Lakhwinder Kaur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 17
Year of Publication: 2015
Authors: Madan Lal, Lakhwinder Kaur
10.5120/ijca2015907655

Madan Lal, Lakhwinder Kaur . Comparative Analysis of B-Mode Breast Ultrasound Image Enhancement Techniques. International Journal of Computer Applications. 131, 17 ( December 2015), 36-40. DOI=10.5120/ijca2015907655

@article{ 10.5120/ijca2015907655,
author = { Madan Lal, Lakhwinder Kaur },
title = { Comparative Analysis of B-Mode Breast Ultrasound Image Enhancement Techniques },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 17 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number17/23544-2015907655/ },
doi = { 10.5120/ijca2015907655 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:27:39.643798+05:30
%A Madan Lal
%A Lakhwinder Kaur
%T Comparative Analysis of B-Mode Breast Ultrasound Image Enhancement Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 17
%P 36-40
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Acquisition of ultrasound images is cheap and noninvasive as it does not require ionizing radiations as compared to other medical imaging techniques but the problem with these images lies in its inherent characteristics like speckle noise and low contrast. In this paper the performance of various image enhancement techniques are compared by applying them on B-Mode breast ultrasound images (BUS) and by using the essential quantitative metrics like signal to noise ratio (SNR) , Edge Preserving Index (EPI) and Structured Similarity Index (SSIM).

References
  1. K. Classic, "Medical imaging physics, fourth edition," Health Physics, vol.83, no. 6, pp. 921-921, 2002.
  2. T. L. Szabo, “Diagnostic Ultrasound Imaging,” in Academic Press Series in Biomedical Engineering, Elsevier Academic Press, 2004.
  3. R. C. Gonzalez and R. E. Woods, “Digital Image Processing”, 3rd edition, Pearson Education Ins, 2008.
  4. Chen Soong-Der and Ramli, Abd.Rahman, ‘Minimum Mean Brightness Error Bi Histogram Equalization in Contrast Enhancement’, IEEE Transactions on Consumer Electronics, Vol.49, No.4, 2003, pp.1310-1319.
  5. T. Loupas, W. N. Mcdicken, and P. L. Allen, “An adoptive weighted median filter speckle suppression in medical ultrasound images,” IEEE Trans. Circuits Sys., vol. 36, pp. 129-135, 1989.
  6. Xin-Yu Zhang, Lan Ge , Tian-Fu Wang, “ Entropy-Based Local Histogram Equalization for Medical Ultrasound Image Enhancement” ,IEEE Conference on Bioinformatics and Biomedical Engineering, 16-18 May 2008. pp 2427-2429.
  7. J. S. Lee, “Digital image enhancement and noise filtering by use of local statics,”IEEE Transactions on pattern analysis and Machine Intelligence,vol.2,no.2,pp-165-168,1980
  8. J. S. Lee, “Refined filtering of image noise using local statistics,”Computer Vision, Graphics and Image Processing, vol. 15, pp. 380-389, 1981.
  9. V. S. Frost, J. A. Stiles, K. S. Shanmugan, and J. C. Hltzman, “A model for radar images and its application to adoptive digital filtering for multiplicative noise,” IEEE Trans. Pattern Anal. Machine Intell. , vol. PAMI-4, pp. 157-165, 1982.
  10. P. Perona and J. Malik, “Scale space and edge detection using anisotropic diffusion”, IEEE Transaction on Pattern Analysis Machine Intelligence,Vol.12, pp 629-639, 1990.
  11. Yongjain Yu and Scott.T.Acton “Speckle Reducing Anisotropic Diffusion”, IEEE Transactions on image processing, Vol. 11, No, 11, 2002, pp-1260-1270.
  12. Lakhwinder Kaur , Savita Gupta , R. C. Chauhan, “Image Denoising using Wavelet Thresholding”, Indian conference on Computer Vision, Graphics and Image Processing, Ahmedabad.2002.
  13. Z. Wang and A. C. Bovik, “A universal image quality index,” IEEE Signal Processing Letters, vol. 9, pp. 81-84, March 2002.
  14. A. M. Eskicioglu and P. S. Fisher, “Image quality measures and their performance,” IEEE Trans. on Communications, vol. 43, no. 12, pp. 2959-2965, Dec. 1995.
  15. A. Pizurika et al. “A versatile wavelet domain noise filtration technique for medical imaging”, IEEE Transactions Medical Imaging, Vol. 22 No.2, 2003.
  16. A. K. Jain, “Fundamentals of Digital Image Processing”, 1st ed., Prentice –Hall, Inc, 1989.
  17. S. Gupta, L. Kaur, R. C. Chauhan, and S. C. Saxena, “A versatile technique for visual enhancement of medical ultrasound image,” Journal of Digital Signal Processing, Elsevier, vol. 17, pp. 542-560, January 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Speckle Noise B-Mode breast ultrasound (BUS) image SNR EPI and SSIM.