Dual-frequency shear wave motion detection

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Shear wave motion detection is a critical part of ultrasound shear wave elastography (SWE). Shear wave signal-to-noise-ratio (SNR) is strongly related to the ultrasound RF (radiofrequency) signal SNR. Recently, we demonstrated substantial improvement of shear wave motion detection using pulse-inversion harmonic imaging (PIHI). In this study we propose to use filter-based harmonic imaging (FHI) to realize dual-frequency shear wave motion detection. With a filter-based approach, one can calculate shear wave motion signal from both the fundamental component and the harmonic component of the RF signal that is acquired from a single pulse-echo cycle. Two types of common shear wave imaging methods were investigated using dual-frequency detection: shear wave imaging with acoustic radiation force (ARF) as the shear wave source, and shear wave imaging with external mechanical vibration as the shear wave source. Phantom studies showed that for ARF based SWE, the push beam attenuates faster than the harmonic signal, and therefore, one can use harmonic signal for shear wave detection throughout the range of depth; for external mechanical vibration-based SWE, one can use harmonic signal to calculate shear wave motion for shallower region of the tissue for better SNR, and fundamental signal to calculate shear wave motion for deeper region of the tissue for better penetration, so that robust shear wave motion detection can be achieved throughout a large range-of-depth.

Original languageEnglish (US)
Title of host publicationIEEE International Ultrasonics Symposium, IUS
PublisherIEEE Computer Society
Pages1109-1112
Number of pages4
ISBN (Print)9781479970490
DOIs
StatePublished - Oct 20 2014
Event2014 IEEE International Ultrasonics Symposium, IUS 2014 - Chicago, United States
Duration: Sep 3 2014Sep 6 2014

Other

Other2014 IEEE International Ultrasonics Symposium, IUS 2014
CountryUnited States
CityChicago
Period9/3/149/6/14

Fingerprint

S waves
harmonics
signal to noise ratios
sound waves
filters
vibration
pulses
echoes
penetration

Keywords

  • acoustic radiation force
  • dual-frequency
  • harmonic imaging
  • mechanical vibration
  • shear wave detection

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Song, P., Zhao, H., Urban, M. W., Manduca, A., Mellema, D. C., Greenleaf, J. F., & Chen, S. D. (2014). Dual-frequency shear wave motion detection. In IEEE International Ultrasonics Symposium, IUS (pp. 1109-1112). [6931949] IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2014.0272

Dual-frequency shear wave motion detection. / Song, Pengfei; Zhao, Heng; Urban, Matthew W; Manduca, Armando; Mellema, Daniel C.; Greenleaf, James F; Chen, Shigao D.

IEEE International Ultrasonics Symposium, IUS. IEEE Computer Society, 2014. p. 1109-1112 6931949.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Song, P, Zhao, H, Urban, MW, Manduca, A, Mellema, DC, Greenleaf, JF & Chen, SD 2014, Dual-frequency shear wave motion detection. in IEEE International Ultrasonics Symposium, IUS., 6931949, IEEE Computer Society, pp. 1109-1112, 2014 IEEE International Ultrasonics Symposium, IUS 2014, Chicago, United States, 9/3/14. https://doi.org/10.1109/ULTSYM.2014.0272
Song P, Zhao H, Urban MW, Manduca A, Mellema DC, Greenleaf JF et al. Dual-frequency shear wave motion detection. In IEEE International Ultrasonics Symposium, IUS. IEEE Computer Society. 2014. p. 1109-1112. 6931949 https://doi.org/10.1109/ULTSYM.2014.0272
Song, Pengfei ; Zhao, Heng ; Urban, Matthew W ; Manduca, Armando ; Mellema, Daniel C. ; Greenleaf, James F ; Chen, Shigao D. / Dual-frequency shear wave motion detection. IEEE International Ultrasonics Symposium, IUS. IEEE Computer Society, 2014. pp. 1109-1112
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