Analytical phase-tracking-based strain estimation for ultrasound elasticity

A new strain estimator for quasi-static elastography is presented, based on tracking of the analytical signal phase as a function of the external force. Two implementations are introduced: zero-phase search with moving window (SMW) and zero-phase band tracking using connected component labeling (CCL). Low analytical signal amplitude caused by local destructive interference is associated with large error in the phase trajectories, and amplitude thresholding can thus be used to terminate the phase tracking along a particular path. Interpolation is then applied to estimate displacement in the eliminated path. The paper describes first a mathematical analysis based on 1-D multi-scatter modeling, followed by a statistical study of the displacement and strain error. Simulation and experiment with an inhomogeneous phantom indicate that SMW and CCL are capable of reliably estimating tissue displacement and strain over a larger range of deformation than standard timedomain cross-correlation (SCC). Results also show that SMW is roughly 40 times faster than SCC with comparable or even better accuracy. CCL is slower than SMW, but more noise robust. Simulation assessment at compression level 3% and 6% with SNR 20 dB demonstrates average strain error for SMW and CCL of 10%, whereas SCC achieves 18%.

[1]  J F Greenleaf,et al.  Probing the dynamics of tissue at low frequencies with the radiation force of ultrasound. , 2000, Physics in medicine and biology.

[2]  J. Arendt Paper presented at the 10th Nordic-Baltic Conference on Biomedical Imaging: Field: A Program for Simulating Ultrasound Systems , 1996 .

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

[4]  R. Sinkus,et al.  High-resolution tensor MR elastography for breast tumour detection. , 2000, Physics in medicine and biology.

[5]  R. Rohling,et al.  Measurement of viscoelastic properties of tissue-mimicking material using longitudinal wave excitation , 2009, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[6]  N Bom,et al.  Characterization of plaque components and vulnerability with intravascular ultrasound elastography. , 2000, Physics in medicine and biology.

[7]  M. Bilgen,et al.  Predicting target detectability in acoustic elastography , 1997, 1997 IEEE Ultrasonics Symposium Proceedings. An International Symposium (Cat. No.97CH36118).

[8]  M. Doyley,et al.  A freehand elastographic imaging approach for clinical breast imaging: system development and performance evaluation. , 2001, Ultrasound in medicine & biology.

[9]  T. Varghese,et al.  A theoretical framework for performance characterization of elastography: the strain filter , 1997, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[10]  J. Ophir,et al.  Myocardial elastography--a feasibility study in vivo. , 2002, Ultrasound in medicine & biology.

[11]  B. Garra,et al.  Elastography of breast lesions: initial clinical results. , 1997, Radiology.

[12]  M. O’Donnell,et al.  Measurement of arterial wall motion using Fourier based speckle tracking algorithms , 1991, IEEE 1991 Ultrasonics Symposium,.

[13]  J. Ophir,et al.  Elastography: Elasticity Imaging Using Ultrasound with Application to Muscle and Breast in Vivo , 1993, Ultrasonic imaging.

[14]  K. Boone,et al.  Effect of skin impedance on image quality and variability in electrical impedance tomography: a model study , 1996, Medical and Biological Engineering and Computing.

[15]  M. O’Donnell,et al.  Internal displacement and strain imaging using ultrasonic speckle tracking , 1994, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[16]  I Céspedes,et al.  Noise reduction in elastograms using temporal stretching with multicompression averaging. , 1996, Ultrasound in medicine & biology.

[17]  J. Ophir,et al.  Reduction of signal decorrelation from mechanical compression of tissues by temporal stretching: applications to elastography. , 1997, Ultrasound in medicine & biology.

[18]  T. Krouskop,et al.  Elastographic characterization of HIFU-induced lesions in canine livers. , 1999, Ultrasound in medicine & biology.

[19]  J. Ophir,et al.  Methods for Estimation of Subsample Time Delays of Digitized Echo Signals , 1995 .

[20]  Frédérique Frouin,et al.  Ultrasound elastography based on multiscale estimations of regularized displacement fields , 2004, IEEE Transactions on Medical Imaging.

[21]  Andrew H. Gee,et al.  Efficient elimination of dropouts in displacement tracking , 2006 .

[22]  J Ophir,et al.  On the use of envelope and RF signal decorrelation as tissue strain estimators. , 1997, Ultrasound in medicine & biology.

[23]  Yanning Zhu,et al.  A Modified Block Matching Method for Real-Time Freehand Strain Imaging , 2002, Ultrasonic imaging.

[24]  T. Varghese,et al.  Two-dimensional multi-level strain estimation for discontinuous tissue , 2007, Physics in medicine and biology.

[25]  J Jiang,et al.  A parallelizable real-time motion tracking algorithm with applications to ultrasonic strain imaging , 2007, Physics in medicine and biology.

[26]  J Ophir,et al.  Estimating tissue strain from signal decorrelation using the correlation coefficient. , 1996, Ultrasound in medicine & biology.

[27]  R L Ehman,et al.  Tissue characterization using magnetic resonance elastography: preliminary results. , 2000, Physics in medicine and biology.

[28]  Jonathan Ophir,et al.  Elastography: Imaging the elastic properties of soft tissues with ultrasound , 2002, Journal of Medical Ultrasonics.

[29]  Nigel L. Bush,et al.  Freehand Elasticity Imaging Using Speckle Decorrelation Rate , 1996 .

[30]  Yongmin Kim,et al.  Angular strain estimation method for elastography , 2007, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

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

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

[33]  J. Ophir,et al.  Elastography: A Quantitative Method for Imaging the Elasticity of Biological Tissues , 1991, Ultrasonic imaging.

[34]  Septimiu E. Salcudean,et al.  Motion Estimation in Ultrasound Images Using Time Domain Cross Correlation With Prior Estimates , 2006, IEEE Transactions on Biomedical Engineering.

[35]  Tsuyoshi Shiina,et al.  Real time tissue elasticity imaging using the combined autocorrelation method , 2002, Journal of Medical Ultrasonics.

[36]  H Ermert,et al.  New real-time strain imaging concepts using diagnostic ultrasound. , 2000, Physics in medicine and biology.

[37]  A.R. Skovoroda,et al.  Tissue elasticity reconstruction based on ultrasonic displacement and strain images , 1995, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[38]  H. Ermert,et al.  A new system for the acquisition of ultrasonic multicompression strain images of the human prostate in vivo , 1999, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.