Directional Transverse Oscillation Vector Flow Estimation

A method for estimating vector velocities using transverse oscillation (TO) combined with directional beamforming is presented. In directional TO (DTO), a normal focused field is emitted and the received signals are beamformed in the lateral direction transverse to the ultrasound beam to increase the amount of data for vector velocity estimation. The approach is self-calibrating as the lateral oscillation period is estimated from the directional signal through a Fourier transform to yield quantitative velocity results over a large range of depths. The approach was extensively simulated using Field IIpro and implemented on the experimental Synthetic Aperture Real-time Ultrasound System (SARUS) scanner in connection with a BK Medical 8820e convex array transducer. Velocity estimates for DTO are found for beam-to-flow angles of 60°, 75°, and 90°, and vessel depths from 24 to 156 mm. Using 16 emissions, the standard deviation (SD) for angle estimation at depths ranging from 24 to 104 mm is between 6.01° and 0.93° with a mean SD of 2.8°. The mean relative SD for the lateral velocity component is 9.2% and the mean relative bias −3.4% or four times lower than for traditional TO. The approach also works for deeper lying vessels with a slight increase in SD to 15.7%, but a maintained bias of −3.5% from 126 to 156 mm. Data for a pulsating flow have also been acquired for 15 cardiac cycles using a CompuFlow 1000 pump. The relative SD was here 7.4% for a femoral artery waveform.

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

[2]  Damien Garcia,et al.  Ultrasound Vector Flow Imaging: II: Parallel Systems. , 2016, IEEE transactions on ultrasonics, ferroelectrics, and frequency control.

[3]  J. Jensen,et al.  A transverse oscillation approach for estimation of three-dimensional velocity vectors, Part II: experimental validation , 2014, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[4]  H. Torp,et al.  Two-dimensional blood velocity estimation with ultrasound: speckle tracking versus crossed-beam vector doppler based on flow simulations in a carotid bifurcation model , 2010, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

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

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

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

[8]  Jorgen Arendt Jensen,et al.  A multi-threaded version of Field II , 2014, 2014 IEEE International Ultrasonics Symposium.

[9]  J. Kortbek,et al.  Estimation of velocity vector angles using the directional cross-correlation method , 2006, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[10]  S. I. Nikolov,et al.  SARUS: A synthetic aperture real-time ultrasound system , 2013, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[11]  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.

[12]  T. Loupas,et al.  Experimental evaluation of velocity and power estimation for ultrasound blood flow imaging, by means of a two-dimensional autocorrelation approach , 1995, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[13]  J.T. Powers,et al.  An axial velocity estimator for ultrasound blood flow imaging, based on a full evaluation of the Doppler equation by means of a two-dimensional autocorrelation approach , 1995, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[14]  Jørgen Arendt Jensen,et al.  An object-oriented multi-threaded software beamformation toolbox , 2011, Medical Imaging.

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

[16]  D. Vray,et al.  PSF dedicated to estimation of displacement vectors for tissue elasticity imaging with ultrasound , 2007, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[17]  Damien Garcia,et al.  Ultrasound Vector Flow Imaging: II: Parallel Systems. , 2016, IEEE transactions on ultrasonics, ferroelectrics, and frequency control.

[18]  Damien Garcia,et al.  Ultrasound Vector Flow Imaging: I: Sequential Systems. , 2016, IEEE transactions on ultrasonics, ferroelectrics, and frequency control.

[19]  Jørgen Arendt Jensen,et al.  Estimation of Velocity Vectors in Synthetic Aperture Ultrasound Imaging , 2006, IEEE Transactions on Medical Imaging.

[20]  A. Basarab,et al.  Lateral RF image synthesis using a synthetic aperture imaging technique , 2008, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[21]  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.

[22]  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.

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

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

[25]  Piero Tortoli,et al.  Plane-wave transverse oscillation for high-frame-rate 2-D vector flow imaging , 2015, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[26]  Jørgen Arendt Jensen Safety Assessment of Advanced Imaging Sequences II: Simulations , 2016, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

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

[28]  Jørgen Arendt Jensen,et al.  Convex array vector velocity imaging using transverse oscillation and its optimization , 2015, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[29]  Jørgen Arendt Jensen,et al.  A transverse oscillation approach for estimation of three-dimensional velocity vectors, Part I: concept and simulation study , 2014, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

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

[31]  J. Jensen,et al.  Directional velocity estimation using focusing along the flow direction. I: theory and simulation , 2003, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[32]  J A Jensen,et al.  A new estimator for vector velocity estimation. , 2001, IEEE transactions on ultrasonics, ferroelectrics, and frequency control.

[33]  J. Jensen,et al.  A new estimator for vector velocity estimation [medical ultrasonics] , 2001, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[34]  M. Tanter,et al.  3-D ultrafast doppler imaging applied to the noninvasive mapping of blood vessels in Vivo , 2015, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[35]  T. Loupas,et al.  Multifrequency Doppler: improving the quality of spectral estimation by making full use of the information present in the backscattered RF echoes , 1994, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[36]  S. Nikolov,et al.  Directional synthetic aperture flow imaging , 2004, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[37]  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.

[38]  K. Boone,et al.  Effect of skin impedance on image quality and variability in electrical impedance tomography: a model study , 1996, Medical and Biological Engineering and Computing.

[39]  Elena Biagi,et al.  A Real-Time 2-D Vector Doppler System for Clinical Experimentation , 2008, IEEE Transactions on Medical Imaging.

[40]  Damien Garcia,et al.  Ultrasound Vector Flow Imaging—Part I: Sequential Systems , 2016, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[41]  J Bercoff,et al.  Ultrafast compound doppler imaging: providing full blood flow characterization , 2011, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

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

[43]  J. Jensen Improved vector velocity estimation using Directional Transverse Oscillation , 2015, 2015 IEEE International Ultrasonics Symposium (IUS).

[44]  J. Goodman Introduction to Fourier optics , 1969 .

[45]  J. Jensen,et al.  In-vivo synthetic aperture flow imaging in medical ultrasound , 2003, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[46]  Ingvild Kinn Ekroll,et al.  Robust angle-independent blood velocity estimation based on dual-angle plane wave imaging , 2015, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.