Frequency-domain high frame-rate 2D vector flow imaging

Conventional ultrasound flow imaging systems are limited to estimate only the axial component of blood velocity. In this work, a method to produce 2D vector Doppler maps is proposed and experimentally tested. The local displacements between consecutive high frame-rate (HFR) radio-frequency (RF) images are estimated in the frequency domain. Each image is subdivided in partially overlapped matching blocks, and the average local displacements in a block are calculated from the difference of spectral phases in consecutive frames. The method has been tested by simulations and experiments by using the ULA-OP research scanner. Preliminary in-vivo tests have been conducted and an example of the femoral vessels of a healthy volunteer is presented. The performance of the method are evaluated through the relative error bias and standard deviation, presenting values lower than 10% in standard conditions.

[1]  J. Jensen,et al.  High frame-rate blood vector velocity imaging using plane waves: Simulations and preliminary experiments , 2008, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[2]  P. Tortoli,et al.  A high performance board for acquisition of 64-channel ultrasound RF data , 2012, 2012 IEEE International Ultrasonics Symposium.

[3]  P. Tortoli,et al.  An automatic angle tracking procedure for feasible vector Doppler blood velocity measurements. , 2010, Ultrasound in medicine & biology.

[4]  P. Tortoli,et al.  Real-time vector velocity profile measurement based on plane wave transmission , 2012, 2012 IEEE International Ultrasonics Symposium.

[5]  O. Basset,et al.  Frequency-domain-based strain estimation and high-frame-rate imaging for quasi-static elastography , 2012, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[6]  H. Torp,et al.  Simultaneous quantification of flow and tissue velocities based on multi-angle plane wave imaging , 2013, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[7]  D H Evans,et al.  Colour flow and motion imaging , 2010, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[8]  A. Dallai,et al.  A reconfigurable and programmable FPGA-based system for nonstandard ultrasound methods , 2012, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

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

[10]  K. Beach,et al.  Cross-beam vector Doppler ultrasound for angle-independent velocity measurements. , 2000, Ultrasound in medicine & biology.

[11]  M. Fink,et al.  Coherent plane-wave compounding for very high frame rate ultrasonography and transient elastography , 2009, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.