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Volume 40 Issue 12
Dec.  2014
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Journal of Beijing University of Aeronautics and Astronautics  > 2014  >  40(12): 1761-1766.
Cai Xiran, Fan Fan, Li Xiaofei, et al. Comparison of tissue vibration signal extraction algorithms in shearwave dispersion ultrasound vibrometry[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(12): 1761-1766. doi: 10.13700/j.bh.1001-5965.2013.0741(in Chinese)
Citation: Cai Xiran, Fan Fan, Li Xiaofei, et al. Comparison of tissue vibration signal extraction algorithms in shearwave dispersion ultrasound vibrometry[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(12): 1761-1766. doi: 10.13700/j.bh.1001-5965.2013.0741(in Chinese)
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Comparison of tissue vibration signal extraction algorithms in shearwave dispersion ultrasound vibrometry

doi: 10.13700/j.bh.1001-5965.2013.0741

  • School of Biological Science and Medical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • Received Date: 08 Jan 2014
  • Publish Date: 20 Dec 2014
    Abstract
  • Vibration extraction is an important step in shearwave dispersion ultrasound vibrometry (SDUV). There are two primary algorithms for vibration extraction in SDUV, the quadrature demodulation method (QDM) and the cross-spectrum method (CSM). However, the extraction qualities of QDM and CSM are under appropriate comparison. This study aimed at comparing the performance of QDM and CSM for tissue vibration extraction based on a parameterized model under various signal-to-noise ratio of ultrasound echoes (SNRU). Results show that when SNRU≥35 dB, the standard deviations of the estimated vibration phase using the vibration extracted by the two methods are close, which has no significant influence on the calculation result of the shear wave speed. The computation efficiency of CSM for vibration extraction is lower than that of QDM. As a conclusion, when SNRU<35 dB, the tissue vibration should be extracted by CSM to suppress the error of vibration phase estimation. However, when SNRU≥35 dB, the tissue vibration should be extracted by QDM to reduce the signal processing time. The findings may provide some strategy in SDUV, which can optimize the examination protocol and make it more efficient.

     

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    • References(15)
  • [1]
    Sarvazyan A P,Rudenko O V,Swanson S D,et al.Shear wave elasticity imaging:a new ultrasonic technology of medical diagnostics[J].Ultrasound in Medicine Biology,1998,24(9):1419-1435
    [2]
    Sarvazyan A,Hall T J,Urban M W,et al.An overview of elastography-an emerging branch of medical imaging[J].Current Medical Imaging Reviews,2011,7(4):255-282
    [3]
    Ophir J,Cespedes I,Ponnekanti H,et al.Elastography:a quantitative method for imaging the elasticity of biological tissues[J].Ultrasonic Imaging,1991,13(2):111-134
    [4]
    Ophir J,Cespedes I,Garra B,et al.Elastography:ultrasonic imaging of tissue strain and elastic modulus in vivo[J].European Journal of Ultrasound,1996,3(1):49-70
    [5]
    Fatemi M,Greenleaf J F.Ultrasound-stimulated vibro-acoustic spectrography[J].Science,1998,280(5360):82-85
    [6]
    Bercoff J,Tanter M,Fink M.Supersonic shear imaging:a new technique for soft tissue elasticity mapping[J].IEEE Transactionson Ultrasonics Ferroelectrics Frequency Control,2004,51(4):396-409
    [7]
    Salameh N,Peeters F,Sinkus R,et al.Hepatic viscoelastic parameters measured with MR elastography:correlations with quantitative analysis of liver fibrosis in the rat[J].Journal of Magnetic Resonance Imaging,2007,26(4):956-962
    [8]
    Chen S G,Urban M W,Pislaru C,et al.Shearwave dispersion ultrasound vibrometry(SDUV)for measuring tissue elasticity and viscosity[J].IEEE Transactionson Ultrasonics Ferroelectrics Frequency Control,2009,56(1):55-62
    [9]
    Yamakoshi Y,Sato J,Sato T.Ultrasonic imaging of internal vibration of soft tissue under forced vibration[J].IEEE Transactionson Ultrasonics Ferroelectrics Frequency Control,1990,37(2):45-53
    [10]
    Zheng Y,Greenleaf J F.Stable and unbiased flow turbulence estimation from pulse echo ultrasound[J].IEEE Transactionson Ultrasonics Ferroelectrics Frequency Control,1999,46(5):1074-1087
    [11]
    Hasegawa H,Kanai H.Improving accuracy in estimation of artery-wall displacement by referring to center frequency of RF echo[J].IEEE Transactionson Ultrasonics Ferroelectrics Frequency Control,2006,53(1):52-63
    [12]
    Huang S R,Lerner R M,Parker K J.On estimating the amplitudeof harmonic vibration from the Doppler spectrum of reflected signals[J].Journal of the Acoustical Society of America,1990,88(6):2702-2712
    [13]
    Zheng Y,Chen S G,Tan W,et al.Detection of tissue harmonic motion induced by ultrasonic radiation force using pulse-echo ultrasound and kalman filter[J].IEEE Transactionson Ultrasonics Ferroelectrics Frequency Control,2007,54(2):290-300
    [14]
    Urban M W,Greenleaf J F.Harmonic pulsed excitation and motion detection of a vibrating reflective target[J].Journal of the Acoustical Society of America,2008,123(1):519-533
    [15]
    Urban M W,Chen S G,Greenleaf J F.Harmonicmotion detection in a vibrating scattering medium[J].IEEE Transactionson Ultrasonics Ferroelectrics Frequency Control,2008,55(9):1956-1974
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