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High-Frequency Ultrasound Analysis in Both Experimental and Computation Level to Understand the Microstructural Change in Soft Tissues

  • Leila LadaniEmail author
  • Koushik Paul
  • Jeremy Stromer
Conference paper
Part of the The Minerals, Metals & Materials Series book series (MMMS)

Abstract

High-frequency ultrasound has become a popular tool in characterizing small-scale soft materials. This method is particularly effective in pitch-catch mode. It has been used in tissue phantoms to evaluate the microstructure. This method has the potential to be used in determining the tissue pathology in cancer and other tissue degenerative diseases. Among different types of parameters of ultrasound, peak density has been found to be most sensitive to the microstructural and scatterer variations in soft materials. 25 MHz ultrasound wave is used in a pitch-catch mode to evaluate mm scale tissue phantoms with microscale scatterers on different thickness levels. FFT is used to convert the receiving signal to frequency domain, calibrate to remove the noise and analyze the peak density. Finite element simulation is used to model the wave propagation in the medium containing scatterers to find a systematic correlation with the scatterer density.

Keywords

High-frequency ultrasound Pitch-catch Peak density Gelatin phantom Finite element analysis 

References

  1. 1.
    Shull PJ (2002) Nondestructive evaluation: theory, techniques, and applications, New York, CRC Press, ISBN 9780824788728CrossRefGoogle Scholar
  2. 2.
    Krautkrämer J, Krautkrämer H (1990) Ultrasonic testing of materials. Springer, Berlin, HeidelbergCrossRefGoogle Scholar
  3. 3.
    U.S. Breast Cancer Statistics | Breastcancer.org (2018) https://www.breastcancer.org/symptoms/understand_bc/statistics. Accessed 11 Sep 2018
  4. 4.
    Litière S et al (2012) Breast conserving therapy versus mastectomy for stage I–II breast cancer: 20 year follow-up of the EORTC 10801 phase 3 randomised trial. Lancet Oncol 13(4):412–419CrossRefGoogle Scholar
  5. 5.
    Pleijhuis RG, Graafland M, De Vries J, Bart J, De Jong JS, Van Dam GM (2009) Obtaining adequate surgical margins in breast-conserving therapy for patients with early-stage breast cancer: current modalities and future directions. Ann Surg Oncol 16(10):2717–2730CrossRefGoogle Scholar
  6. 6.
    Jacobs L (2008) Positive margins: the challenge continues for breast surgeons. Ann Surg Oncol 15(5):1271–1272CrossRefGoogle Scholar
  7. 7.
    Singletary SE (2002) Surgical margins in patients with early-stage breast cancer treated with breast conservation therapy. Am J Surg 184(5):383–393CrossRefGoogle Scholar
  8. 8.
    Russo AL et al (2013) Margin status and the risk of local recurrence in patients with early-stage breast cancer treated with breast-conserving therapy. Breast Cancer Res Treat 140(2):353–361CrossRefGoogle Scholar
  9. 9.
    Thill M, Baumann K, Barinoff J (2014) Intraoperative assessment of margins in breast conservative surgery—still in use? J Surg Oncol 110(1):15–20CrossRefGoogle Scholar
  10. 10.
    Faverly DRG, Hendriks JHCL, Holland R (2001) Breast carcinomas of limited extent: frequency, radiologic-pathologic characteristics, and surgical margin requirements. Cancer 91(4):647–659CrossRefGoogle Scholar
  11. 11.
    Mamou J, Oelze ML, O’Brien WD, Zachary JF (2005) Identifying ultrasonic scattering sites from three-dimensional impedance maps. J Acoust Soc Am 117(1):413–423CrossRefGoogle Scholar
  12. 12.
    Wilke LG et al (2009) Rapid noninvasive optical imaging of tissue composition in breast tumor margins. Am J Surg 198(4):566–574CrossRefGoogle Scholar
  13. 13.
    Doyle TE et al (2013) Determining breast pathology in surgical margins with high-frequency ultrasound: phantom and numerical simulations. J Acoust Soc Am 133(5):3541Google Scholar
  14. 14.
    Doyle TE et al (2011) High-frequency ultrasound for intraoperative margin assessments in breast conservation surgery: a feasibility study. BMC Cancer 11(1):444CrossRefGoogle Scholar
  15. 15.
    Carter C, Neumayer LA, Factor RE, Doyle TE (2018) Abstract P6-03-10: using high-frequency ultrasound (20–80 MHz) to differentiate malignant vs benign breast tissue in surgical margins. Cancer Res 78(4 Suppl), P6-03-10 LP-P6-03-10CrossRefGoogle Scholar
  16. 16.
    Bude RO, Adler RS (1995) An easily made, low-cost, tissue-like ultrasound phantom material. J Clin Ultrasound 23(May):271–273CrossRefGoogle Scholar
  17. 17.
    Stromer J, Ladani L (2016) Investigating ultrasound imaging in the frequency domain for tissue characterisation. Nondestruct Test Eval 31(3):209–218CrossRefGoogle Scholar

Copyright information

© The Minerals, Metals & Materials Society 2019

Authors and Affiliations

  1. 1.University of Texas at ArlingtonArlingtonUSA
  2. 2.University of ConnecticutStorrsUSA

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