An alternative method to classical beamforming for transverse oscillation images: Application to elastography

Transverse oscillation techniques have shown their high potential for accurate and robust vector motion estimation for both flow and tissue. Unfortunately to form such images, it is necessary to modify the ultrasound scanner's beamformer. This paper proposes alternative strategies to create transverse oscillation images in order to estimate motions in ultrasound images. The proposed methods are based on 1) one dimensional convolution or filtering of the radio frequency images or 2) two dimensional convolution or filtering of the B-mode images. They are first evaluated on a single lateral motion case in simulations and experiments, and then in a quasi-static elastography situation. The results with our filtering/convolution approach are very similar to the ones obtained with TO images obtained by classical beamforming. The mean deviation between the classical TO beamforming and the proposed method is 5.5%, which validates that one direction filtering is an efficient way to simplify the creation of TO images.

[1]  A. Basarab,et al.  Phase-based block matching applied to motion estimation with unconventional beamforming strategies , 2009, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[2]  A. Dallai,et al.  ULA-OP: an advanced open platform for ultrasound research , 2009, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[3]  Adrian Basarab,et al.  Analytic Estimation of Subsample Spatial Shift Using the Phases of Multidimensional Analytic Signals , 2009, IEEE Transactions on Image Processing.

[4]  Olivier Basset,et al.  Multi resolution transverse oscillations for motion estimation in ultrasound images , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

[5]  C. Sumi Displacement vector measurement using instantaneous ultrasound signal phase-multidimensional autocorrelation and Doppler methods , 2008, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

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

[7]  Didier Vray,et al.  Beamforming Scheme for 2D Displacement Estimation in Ultrasound Imaging , 2005, EURASIP J. Adv. Signal Process..

[8]  P. Claus,et al.  Tangential sound field oscillations for 2D motion estimation in echocardiography , 2009, 2009 IEEE International Ultrasonics Symposium.

[9]  O. Basset,et al.  Nonlinear radio frequency image simulation for harmonic imaging: Creanuis , 2010, 2010 IEEE International Ultrasonics Symposium.