Skip to main content
Log in

Soft-compression Mammography Based on Weighted l1-norm Scatter Correction Scheme for Reducing Patient Pain during Breast Examination

  • Published:
Journal of the Korean Physical Society Aims and scope Submit manuscript

Abstract

In mammography examination, compression of the breast is essential for reducing scattered X-rays and the radiation dose and for preventing motion artifacts, thereby producing optimal diagnostic breast images. However, mechanical compression of the breast often causes discomfort and pain during and after the examination and deters some patients from routine mammography screening. In this study, we propose a novel soft-compression mammography based on a weighted l1-norm scatter correction scheme in attempt to overcome these difficulties. We implemented the proposed algorithm and performed a simulation and experiment to demonstrate the feasibility of using the proposed method. According to our results, the structure of the breast phantom was much more clearly visible in the scatter-corrected image than in the original scatter-corrupted image. The contrast-to-noise ratio (CNR) for the scatter-corrected image was about 6.3, about 4.1 times larger than that for the scatter-corrupted image, indicating much improved image visibility. The proposed approach seems very promising for scatter correction in conventional mammography, thus allowing soft-compression breast examination in clinics.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. J. Lewin, R. Hendrick, C. D’Orsi, P. Isaacs, L. Moss, A. Karellas, G. Sisney, C. Kuni and G. Cutter, Radiology 218, 873 (2001).

    Article  Google Scholar 

  2. S. Friedewald et al., JAMA 311, 2499 (2014).

    Article  Google Scholar 

  3. R. Saunders and E. Samei, Med. Phys. 35, 4464 (2008).

    Article  Google Scholar 

  4. W. Branderhorst, J. Groot, R. Highnam, A. Chan, M. Böhm-Vélez, M. Broeders, G. Heeten and C. Grimbergen, Eur. J. Radiol. 84, 596 (2015).

    Article  Google Scholar 

  5. M. Broeders, M. Voorde, W. Veldkamp, R. Engen, C. Landsveld, M. Jong, J. Win, K. Greve, E. Paap and G. Heeten, Eur. J. Radiol. 25, 821 (2015).

    Article  Google Scholar 

  6. B. Meng, H. Lee, L. Xing and B. Fahimian, Med. Phys. 40, 077907 (2013).

    Article  Google Scholar 

  7. C. Floyd, P. Beatty and C. Ravin, Invest. Radiol. 24, 30 (1989).

    Article  Google Scholar 

  8. K. Nykänen and S. Samuli, Med. Phys. 30, 1864 (2003).

    Article  Google Scholar 

  9. J. Ducote and S. Molloi, Phys. Med. Biol. 55, 1295 (2010).

    Article  Google Scholar 

  10. W. Zbijewski and F. Beekman, IEEE Trans. Med. Imaging 25, 817 (2006).

    Article  Google Scholar 

  11. J. Tarel and N. Hautière, In Proceeding of the IEEE International Conference on Computer Vision (ICCV) (Kyoto, Japan, Sept. 2009).

    Google Scholar 

  12. G. Meng et al., In Proceeding of the IEEE International Conference on Computer Vision (ICCV) (Sydney, Australia, Dec. 2013).

    Google Scholar 

  13. S. Boyd, N. Parikh, E. Chu, B. Peleato and J. Eckstein, Found. Trends in Mach. Learning 3, 1 (2011).

    Article  Google Scholar 

  14. C. Li, W. Segars, G. Tourassi, J. Boone and J. Dobbins, Med. Phys. 36, 3122 (2009).

    Article  Google Scholar 

  15. D. Erickson, J.Wells, G. Sturgeon, E. Samei, J. Dobbins, W. Segars and J. Lo, Med. Phys. 43, 23 (2016).

    Article  Google Scholar 

  16. G. Surgeon, N. Kiarashi, J. Lo, E. Samei and W. Segars, Med. Phys. 43, 2207 (2016).

    Article  Google Scholar 

  17. S. Leon, L. Brateman and L. Wagner, Med. Phys. 41, 111914 (2014).

    Article  Google Scholar 

  18. J. Boone and J. Seibert, Med. Phys. 15, 721 (1988).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hyosung Cho.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kang, S., Kim, K., Kim, W. et al. Soft-compression Mammography Based on Weighted l1-norm Scatter Correction Scheme for Reducing Patient Pain during Breast Examination. J. Korean Phys. Soc. 72, 811–817 (2018). https://doi.org/10.3938/jkps.72.811

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3938/jkps.72.811

Keywords

Navigation