Skip to main content

Ultrasound Background Cancellation Based on Time-Varying Synthesis

  • Conference paper
  • First Online:
Acoustical Imaging

Part of the book series: Acoustical Imaging ((ACIM,volume 31))

Abstract

Fault detection based on ultrasonic imaging is a common technique used in non destructive testing. Correct interpretation of the scans requires training so that responses from unwanted echoes such as the background are discriminated from echoes corresponding to faults. Thus, enhancement in the form of displaying the desired echoes without the background response can offer an advantage for detection or further quantification of the fault. A fast way to achieve this goal and detect the background signatures and isolate them from the fault ones is to use time-frequency analysis. When time-varying filtering is used, the tendency is to recover the echoes coming from the faults. These echoes are reconstructed with no phase distortion because the system is linear and the scans c in which the background was cancelled in different specimens where faults were located very close to the surface buried within the initial pulse response and close to each other deeper in the specimen. This technique uses a single reference scan fast enough so that to finish the processing earlier than the time required to acquire a new scan.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Blitz, J., Simpson, G.: Ultrasonic Methods of Non-Destructive Testing. Chapman & Hall/University Press, Cambridge (1996)

    Google Scholar 

  2. Carlson, J., Sjobergb, F., Quieffin, N., Ing, R.K., Catheline, S.: Echo cancellation in a single transducer ultrasonic imaging system. In Proceedings of 5th Nordic Signal Processing Symposium, NORSIG-2002, Tromsö, Norway, 4–7 Oct 2002

    Google Scholar 

  3. Hagglund, F., Martinsson, J., Carlson, J.: Model-based estimation of thin multi-layered media using ultrasonic measurements. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 56(8), 1689–1702 (2009)

    Article  Google Scholar 

  4. Ng, J., Prager, R., Kingsbury, N.: Wavelet restoration of medical pulse-echo ultrasound images in an EM framework. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 54(3), 550–568 (2007)

    Article  Google Scholar 

  5. Wells, I., Charlton, P.C., Mosey, S., Donne, K.E.: Background noise removal in ultrasonic B-scan images using iterative statistical techniques. Qual. Reliab. Eng. Int. 24(1), 873–879 (2008)

    Article  Google Scholar 

  6. Marple, S.L.: Are quadratic time-frequency representations really necessary? In Proceedings of ICASSP96, vol. 5, pp. 2575–2579, Atlanta, Georgia, May 1996

    Google Scholar 

  7. Kozek, W., Hlawatsh, F.: A comparative study of linear and non-linear time-frequency filters. In Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time Scale Analysis, pp. 163–166, Victoria, BC, Canada, Oct 1992

    Google Scholar 

  8. Thomas, G., Brito, A.E.: Noise suppression and component extraction of underwater acoustic signals. In OCEANS ’97. MTS/IEEE Conference Proceedings, vol. 2, pp. 1353–1358, Halifax, 6–9 Oct 1997

    Google Scholar 

  9. Qian, S., Chen, D.: Joint time-frequency analysis. IEEE Signal Process. Mag. 16(2), 52–67 (1999)

    Article  ADS  Google Scholar 

  10. Xia, X.G.: A quantitative analysis of SNR in the short-time Fourier transform domain for multicomponent signals. IEEE Trans. Signal Process. 46(1), 200–203 (1998)

    Article  ADS  Google Scholar 

  11. Spies, M., Rieder, H.: Synthetic aperture focusing of ultrasonic inspection data to enhance the probability of detection of defects in strongly attenuating materials. NDT&E Int. 43(5), 425–431 (2010)

    Article  Google Scholar 

  12. Wiley, C.A.: Synthetic aperture radars: a paradigm for technology evolution. IEEE Trans. Aerosp. Electron. Syst. 21(3), 440–443 (1985)

    Article  ADS  Google Scholar 

  13. Lingvall, F.: Time domain reconstruction methods for ultrasonic array imaging. PhD thesis, Uppsala University, Signals and Systems (2004)

    Google Scholar 

  14. Langenberg, K.-J.: Applied inverse problems. In: Sabatier, P.C. (ed.) Basic Methods of Tomography and Inverse Problems. Adam Hilger, Bristol (1987)

    Google Scholar 

Download references

Acknowledgments

This work was supported by the Natural Sciences and Engineering Research Council of Canada.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gabriel Thomas .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media B.V.

About this paper

Cite this paper

Mijares-Chan, J.J., Thomas, G. (2012). Ultrasound Background Cancellation Based on Time-Varying Synthesis. In: Nowicki, A., Litniewski, J., Kujawska, T. (eds) Acoustical Imaging. Acoustical Imaging, vol 31. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2619-2_14

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-2619-2_14

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-2618-5

  • Online ISBN: 978-94-007-2619-2

  • eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)

Publish with us

Policies and ethics