An Efficient Motion Estimation and Compensation Method for Ultrasound Synthetic Aperture Imaging

This paper describes a method for overcoming motion artifacts in synthetic aperture imaging. The method is based on a computer simulation study on the influence of target motion on synthetic aperture techniques. A region-based motion compensation approach is used in which only the axial motion is estimated and compensated for a given region of interest under the assumption that the whole ROI moves uniformly. The estimated axial motion is calculated with a crosscorrelation method at the point where the focused signal has the maximum energy within the ROI. We also present a method for estimating axial motion using the autocorrelation method that is widely used to estimate average Doppler frequency. Both computer simulations and in vivo experiments show that the proposed crosscorrelation-based method can greatly improve the spatial resolution and SNR of ultrasound imaging by implementing SA techniques for two-way dynamic focusing without motion artifacts. In addition, the autocorrelation-based motion compensation method provides almost the same results as the crosscorrelation-based method, but with a dramatically reduced computational complexity.

[1]  G. Trahey,et al.  Synthetic receive aperture imaging with phase correction for motion and for tissue inhomogeneities. II. Effects of and correction for motion , 1992, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[2]  M. O’Donnell,et al.  Adaptive multi-element synthetic aperture imaging with motion and phase aberration correction , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[3]  Song B. Park,et al.  Pipelined Sampled-Delay Focusing in Ultrasound Imaging Systems , 1987 .

[4]  Moo-Ho Bae,et al.  Bidirectional pixel based focusing in conventional B-mode ultrasound imaging , 1998 .

[5]  S. B. Park,et al.  A new digital phased array system for dynamic focusing and steering with reduced sampling rate. , 1990, Ultrasonic imaging.

[6]  H. Ermert,et al.  Ultrasound synthetic aperture imaging: monostatic approach , 1994, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[7]  G.R. Lockwood,et al.  Real-time 3-D ultrasound imaging using sparse synthetic aperture beamforming , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[8]  G.E. Trahey,et al.  Synthetic receive aperture imaging with phase correction for motion and for tissue inhomogeneities. I. Basic principles , 1992, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[9]  M. O'Donnell,et al.  Subaperture processing for ultrasonic imaging , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[10]  M. O'Donnell,et al.  Synthetic aperture imaging for small scale systems , 1995, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[11]  M. Bae,et al.  A study of synthetic-aperture imaging with virtual source elements in B-mode ultrasound imaging systems. , 2000, IEEE transactions on ultrasonics, ferroelectrics, and frequency control.