Skip to main content
Log in

Optimization of ultrasonic elastography by coded excitation and transmit-side multi-frequency compounding

  • Published:
Journal of Central South University Aims and scope Submit manuscript

Abstract

To improve the quality of ultrasonic elastography, by taking the advantage of code excitation and frequency compounding, a transmitting-side multi-frequency with coded excitation for elastography (TFCCE) was proposed. TFCCE adopts the chirp signal excitation scheme and strikes a balance in the selection of sub-signal bandwidth, the bandwidth overlap and the number of sub-strain image based on theoretical derivation, so as to further improve the quality of elastic image. Experiments have proved that, compared with the other optimizing methods, the elastographyic signal-to-niose ratio(R e-SN) and contrast-to-noise ratio(R e-CN) are improved significantly with different echo signal-to-noise ratios (R eSN) and attenuation coefficients. When R eSN is 50 dB, compared with short pulse, R e-SN and R e-CN obtained by TFCCE increase by 53% and 143%, respectively. Moreover, in a deeper investigation (85–95 mm), the image has lower strain noise and clear details. When the attenuation coefficient is in the range of 0-1 dB/(cm·MHz), R e-SN and R e-CN obtained by TFCCE can be kept in moderate ranges of 5<R e-SN<6.8 and 11.4<R e-CN<15.2, respectively. In particular, for higher tissue attenuation, the basic image quality cannot be ensured with short pulse excitation, while mediocre quality strain figure can be obtained by TFCCE. Therefore, the TFCCE technology can effectively improve the elastography quality and can be applied to ultrasonic clinical trials.

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. OPHIR J, CESPEDES I, PONNEKANTI HI. Elastography: A quantitative method for imaging the elasticity of biological tissues [J]. Ultrasonic Imaging, 1991, 13(2): 111–134.

    Google Scholar 

  2. LIU Jie, INSANA M F. Coded pulse excitation for ultrasonic strain imaging [J]. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2005, 52(2): 231–240.

    Article  Google Scholar 

  3. PENG Hui, LIU D C. Enhanced ultrasound strain imaging using chirp-coded pulse excitation [J]. Biomedical Signal Processing and Control, 2012, 8(2):130–141.

    Article  MathSciNet  Google Scholar 

  4. PEDERSEN M H, MISARIDIS T X, JENSEN J A. Clinical evaluation of chirp-coded excitation in medical ultrasound [J]. Ultrasound Med Biol, 2003, 29(6): 895–905.

    Article  Google Scholar 

  5. CUI Shao-guo, LIU D C. Noise reduction for ultrasonic elastography using transmit-side frequency compounding: A preliminary study [J]. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2011, 58(3): 509–516.

    Article  Google Scholar 

  6. WALKER W F, TRAHEY G E. A fundamental limit on delay estimation using partially correlated speckle signals [J]. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 1995, 42(2): 301–308.

    Article  Google Scholar 

  7. JENSEN J A. Field: A program for simulating ultrasound systems [C]// 10th Nordicbaltic Conference on Biomedical Imaging. Tempere: Med. Biol. Eng. Comp. 1996: 351–353.

    Google Scholar 

  8. LI Jian-qi, YANG Chun-hua, ZHU Hong-qiu, WEI Li-jun. Improved image enhancement method for flotation froth image based on parameter extraction [J]. Journal of Central South University, 2013, 20(6):1602–1609.

    Article  Google Scholar 

  9. SRINIVASAN S, RIGHETTI R, OPHIR J. Trade-offs between the axial resolution and the signal-to-noise ratio in elastography [J]. Ultrasound in Medicine and Biology, 2003, 29(6): 847–866.

    Article  Google Scholar 

  10. LINDOP J E, TREECE G M, GEE A H. Estimation of displacement location for enhanced strain imaging [J]. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2007, 54(9): 1751–1771.

    Article  Google Scholar 

  11. GORTHI S S, SCHAAK D, SCHONBRUN E. Fluorescence imaging of flowing cells using a temporally coded excitation [J]. Virtual Journal for Biomedical Optics, 2013, 21(4): 5164–5167.

    Google Scholar 

  12. PESAVENTO A, PERREY C, KRUEGER M, ERMERT H. A time-efficient and accurate strain estimation concept for ultrasonic elastography using iterative phase zero estimation [J]. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 1999, 46(5): 1057–1067.

    Article  Google Scholar 

  13. KRZYSZTOF N. A review on single-pass grinding processes [J]. Journal of Central South University, 2013, 20(6): 1502–1509.

    Article  Google Scholar 

  14. UDOMCHAI T, CHEN Q, VARGHESE T, JAMES A, ERNEST L. Noise reduction using spatial-angular compounding for elastography [J]. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2004, 51(5): 510–520.

    Article  Google Scholar 

  15. ITOH A, Ueno E, TOHNO El. Breast disease: Clinical application of US elastography for diagnosis [J]. Radiology, 2006, 239(2): 341–350.

    Article  Google Scholar 

  16. O’DONNELL M. Wideband linear power amplifier for high-frequency ultrasonic coded excitation imaging [J]. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2012, 59(4): 825–832.

    Article  Google Scholar 

  17. HIMANSHU S, MARVIN M. D. The response of phospholipid-encapsulated microbubbles to chirp-coded excitation: Implications for high-frequency nonlinear imaging [J]. Journal of the Acoustical Society of America, 2013, 133(5):3145–3158.

    Article  Google Scholar 

  18. AKKOUCHI M. On the convolution of exponential distributions [J]. J Chungcheong Math Soc, 2008, 21(4): 501–510.

    Google Scholar 

  19. PARK J, LEE J, LAU S T, LEE C, HUANG Y, LIEN C L, SHUNG K K. Acoustic radiation force impulse (ARFI) imaging of zebrafish embryo by high-frequency coded excitation sequence [J]. Annals of Biomedical Engineering, 2012, 40(4): 907–915.

    Article  Google Scholar 

  20. SHAO Dang-guo, LIU P, LIU D C. Histogram-based fast adaptive bilateral filter for ultrasound speckle reduction [J]. International Journal of Digital Content Technology and its Applications, 2012, 23 (6): 298–305.

    Google Scholar 

  21. STEADMAN R, MYERS RP, LEGGETT L, LORENZETTI D, NOSEWORTHY T, ROSE S, SUTHERLAND L, CLEMENT F. A health technology assessment of transient elastography in adult liver disease [J]. Canadian Journal of Gastroenterology, 2013, 27(3): 149–158.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hao-lin Liu  (刘昊霖).

Additional information

Foundation item: Project(2013GZX0147-3) supported by the Natural Science Foundation of Sichuan Province, China

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, Zh., Liu, Hl., He, Yn. et al. Optimization of ultrasonic elastography by coded excitation and transmit-side multi-frequency compounding. J. Cent. South Univ. 21, 1003–1010 (2014). https://doi.org/10.1007/s11771-014-2030-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11771-014-2030-4

Key words

Navigation