Phase rotation methods in filtering correlation coefficients for ultrasound speckle tracking

In speckle-tracking-based myocardial strain imaging, large interframe/volume peak-systolic strains cause peak hopping artifacts separating the highest correlation coefficient peak from the true peak. A correlation coefficient filter was previously designed to minimize peak hopping artifacts. For large strains, however, the correlation coefficient filter must follow the strain distribution to remove peak hopping effectively. This processing usually means interpolation and high computational load. To reduce the computational burden, a narrow band approximation using phase rotation is developed in this paper to facilitate correlation coefficient filtering. Correlation coefficients are first phase rotated to increase coherence, then filtered. Rotated phase angles are determined by the local strain and spatial position. This form of correlation coefficient filtering enhances true correlation coefficient peaks in large strain applications if decorrelation due to deformation does not completely destroy the coherence among neighboring correlation coefficients. The assumed strain used in the filter can also deviate from the true strain and still be effective. Further improvement in displacement estimation can be expected by combining correlation coefficient filtering with a new Viterbi-based displacement estimator.

[1]  Odile Bonnefous Time Domain Colour Flow Imaging: Methods and Benefits Compared to Doppler , 1992 .

[2]  M. O’Donnell,et al.  3-D Correlation-Based Speckle Tracking , 2005, Ultrasonic imaging.

[3]  P Suetens,et al.  Regional strain and strain rate measurements by cardiac ultrasound: principles, implementation and limitations. , 2000, European journal of echocardiography : the journal of the Working Group on Echocardiography of the European Society of Cardiology.

[4]  K. R. Raghavan,et al.  Lateral displacement estimation using tissue incompressibility , 1996, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[5]  G. Sutherland,et al.  Strain and strain rate imaging: a new clinical approach to quantifying regional myocardial function. , 2004, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[6]  A. Heimdal,et al.  In vitro evaluation of ultrasound Doppler strain rate imaging: modification for measurement in a slowly moving tissue phantom. , 2003, Ultrasound in medicine & biology.

[7]  G R Sutherland,et al.  Assessment of regional longitudinal myocardial strain rate derived from doppler myocardial imaging indexes in normal and infarcted myocardium. , 2000, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[8]  W. Walker,et al.  Real-time imaging of tissue vibration using a two-dimensional speckle tracking system , 1993 .

[9]  W.K. Jenkins,et al.  Accurate and precise measurement of blood flow using ultrasound time domain correlation , 1989, Proceedings., IEEE Ultrasonics Symposium,.

[10]  B. Friemel,et al.  Real-time system for angle-independent US of blood flow in two dimensions: initial results. , 1993, Radiology.

[11]  A. Støylen,et al.  Strain and strain rate parametric imaging. A new method for post processing to 3-/4-dimensional images from three standard apical planes. Preliminary data on feasibility, artefact and regional dyssynergy visualisation , 2003, Cardiovascular ultrasound.

[12]  A. Støylen,et al.  Real-time strain rate imaging of the left ventricle by ultrasound. , 1998, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[13]  F. Epstein,et al.  Quantification and MRI validation of regional contractile dysfunction in mice post myocardial infarction using high resolution ultrasound. , 2006, Ultrasound in medicine & biology.

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

[15]  H. Kanai,et al.  Real-time measurements of local myocardium motion and arterial wall thickening , 1999, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[16]  Xunchang Chen Cardiac strain rate imaging using two-dimensional speckle tracking. , 2004 .

[17]  G R Sutherland,et al.  Colour Doppler velocity imaging of the myocardium. , 1992, Ultrasound in medicine & biology.

[18]  G R Sutherland,et al.  Differences in myocardial velocity gradient measured throughout the cardiac cycle in patients with hypertrophic cardiomyopathy, athletes and patients with left ventricular hypertrophy due to hypertension. , 1997, Journal of the American College of Cardiology.

[19]  M. O’Donnell,et al.  Strain rate imaging using two-dimensional speckle tracking , 2001, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[20]  K. Parker,et al.  "Sonoelasticity" images derived from ultrasound signals in mechanically vibrated tissues. , 1990, Ultrasound in medicine & biology.

[21]  G. Cho,et al.  Comparison of two-dimensional speckle and tissue Doppler strain measurement during dobutamine stress echocardiography: an angiographic correlation. , 2007, European heart journal.

[22]  James F. Zachary,et al.  In Vivo Measurement of Blood Flow Using Ultrasound Time-Domain Correlation , 1992 .

[23]  C Veyrat,et al.  Tissue Doppler, strain, and strain rate echocardiography for the assessment of left and right systolic ventricular function , 2003, Heart.

[24]  E E Konofagou,et al.  A novel, view-independent method for strain mapping in myocardial elastography: eliminating angle and centroid dependence , 2007, Physics in medicine and biology.

[25]  W.D. O'Brien,et al.  Current time-domain methods for assessing tissue motion by analysis from reflected ultrasound echoes-a review , 1993, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[26]  B. Friemel,et al.  Speckle decorrelation due to two-dimensional flow gradients , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[27]  W. McDicken,et al.  Myocardial velocity gradients detected by Doppler imaging. , 1994, The British journal of radiology.

[28]  Xunchang Chen,et al.  Lateral speckle tracking using synthetic lateral phase , 2004, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[29]  M.A. Lubinski,et al.  Speckle tracking methods for ultrasonic elasticity imaging using short-time correlation , 1999, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

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

[31]  G R Sutherland,et al.  Color Doppler myocardial imaging: a new technique for the assessment of myocardial function. , 1994, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[32]  R. Hoffmann,et al.  Assessment of segmental myocardial viability using regional 2-dimensional strain echocardiography. , 2007, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[33]  9A-2 Controlled 2D Cardiac Elasticity Imaging on an Isolated Perfused Rabbit Heart , 2007, 2007 IEEE Ultrasonics Symposium Proceedings.

[34]  P. Suetens,et al.  Two-dimensional ultrasonic strain rate measurement of the human heart in vivo , 2002 .

[35]  M. O’Donnell,et al.  Reduced peak-hopping artifacts in ultrasonic strain estimation using the Viterbi algorithm , 2008, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[36]  C L de Korte,et al.  Echo decorrelation from displacement gradients in elasticity and velocity estimation , 1999, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[37]  G E Trahey,et al.  Angle independent ultrasonic blood flow detection by frame-to-frame correlation of B-mode images. , 1988, Ultrasonics.

[38]  Sheng-Wen Huang,et al.  Analysis of correlation coefficient filtering in elasticity imaging , 2008, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[39]  Hans G. Torp,et al.  Strain Rate Imaging by Ultrasound in the Diagnosis of Regional Dysfunction of the Left Ventricle , 1999, Echocardiography.

[40]  P4B-3 Displacement Estimation Using a Slant Correlation Coefficient Filter for Large Strains , 2007, 2007 IEEE Ultrasonics Symposium Proceedings.

[41]  G. Trahey,et al.  Angle Independent Ultrasonic Detection of Blood Flow , 1987, IEEE Transactions on Biomedical Engineering.

[42]  Paul Suetens,et al.  Echocardiographic strain and strain-rate imaging: a new tool to study regional myocardial function , 2002, IEEE Transactions on Medical Imaging.

[43]  Dan Adam,et al.  In vivo validation of a novel method for regional myocardial wall motion analysis based on echocardiographic tissue tracking , 2007, Medical & Biological Engineering & Computing.

[44]  O. Bonnefous,et al.  A New Velocity Estimator for Color Flow Mapping , 1986, IEEE 1986 Ultrasonics Symposium.

[45]  M. Uematsu,et al.  Myocardial velocity gradient as a new indicator of regional left ventricular contraction: detection by a two-dimensional tissue Doppler imaging technique. , 1995, Journal of the American College of Cardiology.

[46]  F. Kallel,et al.  A Least-Squares Strain Estimator for Elastography , 1997, Ultrasonic imaging.

[47]  M. Yamagishi,et al.  Comparative usefulness of myocardial velocity gradient in detecting ischemic myocardium by a dobutamine challenge. , 1998, Journal of the American College of Cardiology.