A new method for shear wave speed estimation in shear wave elastography

Visualization of mechanical properties of tissue can aid in noninvasive pathology diagnosis. Shear wave elastography (SWE) measures the elastic properties of soft tissues by estimation of local shear wave propagation speed. In this paper, a new robust method for estimation of shear wave speed is introduced which has the potential for simplifying continuous filtering and real-time elasticity processing. Shear waves were generated by external mechanical excitation and imaged at a high frame rate. Three homogeneous phantoms of varying elastic moduli and one inclusion phantom were imaged. Waves propagating in separate directions were filtered and shear wave speed was estimated by inversion of the 1-D first-order wave equation. Final 2-D shear wave speed maps were constructed by weighted averaging of estimates from opposite traveling directions. Shear wave speed results for phantoms with gelatin concentrations of 5%, 7%, and 9% were 1.52 ± 0.10 m/s, 1.86 ± 0.10 m/s, and 2.37 ± 0.15 m/s, respectively, which were consistent with estimates computed from three other conventional methods, as well as compression tests done with a commercial texture analyzer. The method was shown to be able to reconstruct a 2-D speed map of an inclusion phantom with good image quality and variance comparable to conventional methods. Suggestions for further work are given.

[1]  Jr. S. Marple,et al.  Computing the discrete-time 'analytic' signal via FFT , 1999, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

[2]  M. Fink,et al.  The variance of quantitative estimates in shear wave imaging: Theory and experiments , 2012, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[3]  M Fink,et al.  A solution to diffraction biases in sonoelasticity: the acoustic impulse technique. , 1999, The Journal of the Acoustical Society of America.

[4]  C. Kasai,et al.  Real-Time Two-Dimensional Blood Flow Imaging Using an Autocorrelation Technique , 1985, IEEE Transactions on Sonics and Ultrasonics.

[5]  M. Fink,et al.  Supersonic shear imaging: a new technique for soft tissue elasticity mapping , 2004, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[6]  Thomas Deffieux,et al.  Quantitative assessment of breast lesion viscoelasticity: initial clinical results using supersonic shear imaging. , 2008, Ultrasound in medicine & biology.

[7]  F. Harris On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.

[8]  A. Savitzky,et al.  Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .

[9]  Armando Manduca,et al.  External Vibration Multi-Directional Ultrasound Shearwave Elastography (EVMUSE): Application in Liver Fibrosis Staging , 2014, IEEE Transactions on Medical Imaging.

[10]  Armando Manduca,et al.  Fast shear compounding using robust 2-D shear wave speed calculation and multi-directional filtering. , 2014, Ultrasound in medicine & biology.

[11]  J. F. Greenleaf,et al.  Magnetic resonance elastography: Non-invasive mapping of tissue elasticity , 2001, Medical Image Anal..

[12]  K. Nightingale,et al.  Quantifying hepatic shear modulus in vivo using acoustic radiation force. , 2008, Ultrasound in medicine & biology.

[13]  Armando Manduca,et al.  Spatio-temporal Directional Filtering for Improved Inversion of MR Elastography Images , 2002, MICCAI.

[14]  M. Fink,et al.  Shear modulus imaging with 2-D transient elastography , 2002, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[15]  R L Ehman,et al.  Complex‐valued stiffness reconstruction for magnetic resonance elastography by algebraic inversion of the differential equation , 2001, Magnetic resonance in medicine.

[16]  Matthew W Urban,et al.  Acoustic waves in medical imaging and diagnostics. , 2013, Ultrasound in medicine & biology.

[17]  Mathias Fink,et al.  Transient elastography in anisotropic medium: application to the measurement of slow and fast shear wave speeds in muscles. , 2003, The Journal of the Acoustical Society of America.

[18]  Mickael Tanter,et al.  Ultrafast imaging in biomedical ultrasound , 2014, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[19]  M. Tanter,et al.  On the effects of reflected waves in transient shear wave elastography , 2011, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[20]  G E Trahey,et al.  Potential and limitations of angle-independent flow detection algorithms using radio-frequency and detected echo signals. , 1991, Ultrasonic imaging.

[21]  Joyce R. McLaughlin,et al.  Shear wave speed recovery in transient elastography and supersonic imaging using propagating fronts , 2006 .

[22]  Armando Manduca,et al.  Spatio-temporal Directional Filtering for Improved Inversion of MR Elastography Images , 2002, MICCAI.

[23]  로날드 엘빈 데이글 Ultrasound imaging system with pixel oriented processing , 2006 .

[24]  Armando Manduca,et al.  Comb-Push Ultrasound Shear Elastography (CUSE): A Novel Method for Two-Dimensional Shear Elasticity Imaging of Soft Tissues , 2012, IEEE Transactions on Medical Imaging.

[25]  M. Fink,et al.  Ultrafast compound imaging for 2-D motion vector estimation: application to transient elastography , 2002, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[26]  Roel Snieder,et al.  Imaging and Averaging in Complex Media , 1999 .