Measurement of shear wave using ultrasound and Kalman filter with large background motion for cardiovascular studies

Y. Zheng, A. Yao, Shigao D Chen, James F Greenleaf

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

4 Citations (Scopus)

Abstract

Phases of tissue harmonic motions, induced by the ultrasound radiation force, over a distance can be detected by pulse echo ultrasound and Kalman filter. However, large background motions due to cardiovascular motion distort the weak harmonic vibration. The background motion can be modeled by the Wiener process or random-walk process. The harmonic motion and the background motion are represented by a fourth-order differential equation and four state variables. Based on this model, the Kalman filter estimates phase shifts of shear wave over a short distance in a tissue region from large background motions. The study shows that the estimates are valid when the velocity and acceleration of background motion are less than 3 m/s and 3 m/s/s, respectively.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE Ultrasonics Symposium
Pages718-721
Number of pages4
Volume1
DOIs
StatePublished - 2006

Fingerprint

Kalman filters
S waves
filters
harmonic motion
estimates
random walk
echoes
differential equations
phase shift
harmonics
vibration
radiation
pulses

Keywords

  • Harmonic motion
  • Kalman filter
  • Phase shift
  • Random process
  • Shear wave
  • Shear wave speed
  • Vibration

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Measurement of shear wave using ultrasound and Kalman filter with large background motion for cardiovascular studies. / Zheng, Y.; Yao, A.; Chen, Shigao D; Greenleaf, James F.

Proceedings - IEEE Ultrasonics Symposium. Vol. 1 2006. p. 718-721 4152050.

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

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abstract = "Phases of tissue harmonic motions, induced by the ultrasound radiation force, over a distance can be detected by pulse echo ultrasound and Kalman filter. However, large background motions due to cardiovascular motion distort the weak harmonic vibration. The background motion can be modeled by the Wiener process or random-walk process. The harmonic motion and the background motion are represented by a fourth-order differential equation and four state variables. Based on this model, the Kalman filter estimates phase shifts of shear wave over a short distance in a tissue region from large background motions. The study shows that the estimates are valid when the velocity and acceleration of background motion are less than 3 m/s and 3 m/s/s, respectively.",
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