Directional velocity estimation using focusing along the flow direction. I: theory and simulation

A new method for directional velocity estimation is presented. The method uses beam formation along the flow direction to generate data in which the correct velocity magnitude can be directly estimated from the shift in position of the received consecutive signals. The shift is found by cross-correlating the beamformed lines. The approach can find the velocity in any direction, including transverse to the traditionally emitted ultrasound beam. The velocity estimation is studied through extensive simulations using Field II. A 128-element, 7-MHz linear array is used. A parabolic velocity profile with a peak velocity of 0.5 m/s is simulated for different beam-to-flow angles and for different emit foci. At 45/spl deg/ the relative standard deviation over the profile is 1.6% for a transmit focus at 40 mm. At 90/spl deg/ the approach gave a relative standard deviation of 6.6% with a transmit focus of 80 mm, when using 8 pulse-echo lines and stationary echo canceling. Pulsatile flow in the femoral artery was also simulated using Womersley's flow model. A purely transverse flow profile could be obtained with a relative standard deviation of less than 10% over the whole cardiac cycle using 8 pulse emissions for each imaging direction, which is sufficient to show clinically relevant transverse color flow images.

[1]  O. Bonnefous Measurement of the complete (3D) velocity vector of blood flows , 1988, IEEE 1988 Ultrasonics Symposium Proceedings..

[2]  M.E. Aderson,et al.  Multi-dimensional velocity estimation with ultrasound using spatial quadrature , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

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

[4]  J. Womersley XXIV. Oscillatory motion of a viscous liquid in a thin-walled elastic tube—I: The linear approximation for long waves , 1955 .

[5]  M. Fox Multiple crossed-beam ultrasound Doppler velocimetry , 1978 .

[6]  J.A. Jensen,et al.  Improved accuracy in the estimation of blood velocity vectors using matched filtering , 2000, 2000 IEEE Ultrasonics Symposium. Proceedings. An International Symposium (Cat. No.00CH37121).

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

[8]  J. Jensen,et al.  Estimation of blood velocity vectors using transverse ultrasound beam focusing and cross-correlation , 1999, 1999 IEEE Ultrasonics Symposium. Proceedings. International Symposium (Cat. No.99CH37027).

[9]  J. Jensen,et al.  Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers , 1992, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[10]  D H Evans,et al.  Some aspects of the relationship between instantaneous volumetric blood flow and continuous wave Doppler ultrasound recordings--I. The effect of ultrasonic beam width on the output of maximum, mean and RMS frequency processors. , 1982, Ultrasound in medicine & biology.

[11]  C. Kasai,et al.  Real-Time Two-Dimensional Blood Flow Imaging Using an Autocorrelation Technique , 1985, IEEE 1985 Ultrasonics Symposium.

[12]  J. Jensen Estimation of Blood Velocities Using Ultrasound: A Signal Processing Approach , 1996 .

[13]  O. Bonnefous,et al.  Time Domain Formulation of Pulse-Doppler Ultrasound and Blood Velocity Estimation by Cross Correlation , 1986, Ultrasonic imaging.

[14]  J. Jensen,et al.  Directional velocity estimation using focusing along the flow direction. II: experimental investigation , 2003, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[15]  J. Jensen,et al.  A new method for estimation of velocity vectors , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.