Title :
An improved estimation and focusing scheme for vector velocity estimation
Author :
Jensen, Jorgen Arendt ; Munk, Peter
Author_Institution :
Dept. of Inf. Technol., Tech. Univ. Denmark, Lyngby, Denmark
Abstract :
The full blood velocity vector must be estimated in medical ultrasound to give a correct depiction of the blood flow. This can be done by introducing a transversely oscillating pulse-echo ultrasound field, which makes the received signal influenced by a transverse motion. Such an approach was suggested in J. A. Jensen and P. Nlunk, “A new method for estimation of velocity vectors,” IEEE Trans. Ultrason., Ferroelec., Freq. Contr., vol. 45, p. 837-51, 1998. Here the conventional autocorrelation approach was used for estimating the transverse velocity and a compensation for the axial motion was necessary in the estimation procedure. This paper introduces a new estimator for determining the two-dimensional velocity vector and a new dynamic beamforming method. A modified autocorrelation approach employing fourth order moments of the input data is used for velocity estimation. The new estimator calculates the axial and lateral velocity component independently of each other. The estimation is optimized for differences in axial and lateral modulation periods in the ultrasound field by using a lag different from one in the estimation process, and noise artifacts are reduced by using averaging of RF samples. Furthermore, compensation for the axial velocity can be introduced, and the velocity estimation is done at a fixed depth in tissue to reduce spatial velocity dispersion. Examples of different velocity vector conditions are shown using the Field II simulation program. A relative accuracy of 10.1% is obtained for the lateral velocity estimates for a parabolic velocity profile for a flow perpendicular to the ultrasound beam and a signal-to-noise ratio of 20 dB using 20 pulse-echo lines per estimate. Performing the estimation on measured data from a sponge for a plug flow shows that the new estimator reduces the bias from -18% to -8%. The overall standard deviation averaged over all angles is reduced from 29.5% to 10%
Keywords :
biomedical ultrasonics; blood flow measurement; medical signal processing; ultrasonic focusing; ultrasonic velocity measurement; vectors; Field II simulation program; autocorrelation; axial velocity; blood velocity vector; correct blood flow depiction; dynamic beamforming method; focusing scheme; medical ultrasound; parabolic velocity profile; received signal; signal-to-noise ratio; spatial velocity dispersion reduction; transverse motion; transversely oscillating pulse-echo ultrasound field; vector velocity estimation; Array signal processing; Autocorrelation; Blood flow; Fluid flow measurement; Motion estimation; Noise reduction; Performance evaluation; Radio frequency; Signal to noise ratio; Ultrasonic imaging;
Conference_Titel :
Ultrasonics Symposium, 1999. Proceedings. 1999 IEEE
Conference_Location :
Caesars Tahoe, NV
Print_ISBN :
0-7803-5722-1
DOI :
10.1109/ULTSYM.1999.849273