Real time 3D US-tagging combined with 3D phasebased motion estimation

By contrast with 2D imaging, quantitative analysis of 3D motion from ultrasound images can provide improved information in several applications, such as arterial mechanical assessment, heart motion and blood flow. Unfortunately, it remains difficult to obtain a high definition of the motion estimate in the lateral and elevation directions (i.e. perpendicular to the beam axis). To increase the definition in both these directions, this paper presents a 3D extension of a the transverse oscillations method that enables one to obtain ultrasound fields featuring oscillations along the 3 spatial dimensions, using a single apodization function. The 3D motion method is estimated using the phases of the images. Simulation results show that a 3D trajectory can be followed with a relative mean error smaller than 8%.

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

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

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

[4]  M E Anderson,et al.  Speckle tracking for multi-dimensional flow estimation. , 2000, Ultrasonics.

[5]  Didier Vray,et al.  Investigating elastic properties of soft biological tissues. , 2002, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[6]  M. O’Donnell,et al.  3-D Correlation-Based Speckle Tracking , 2005, Ultrasonic imaging.

[7]  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.

[8]  Paul Suetens,et al.  Three-Dimensional Cardiac Strain Estimation Using Spatio–Temporal Elastic Registration of Ultrasound Images: A Feasibility Study , 2008, IEEE Transactions on Medical Imaging.

[9]  Chii-Jeng Lin,et al.  A Motion Compounding Technique for Speckle Reduction in Ultrasound Images , 2010, Journal of Digital Imaging.

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

[11]  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.

[12]  A. Basarab,et al.  Transverse oscillations for tissue motion estimation. , 2010, Ultrasonics.

[13]  M. J. Pihl,et al.  3D vector velocity estimation using a 2D phased array , 2011, 2011 IEEE International Ultrasonics Symposium.

[14]  Didier Vray,et al.  Measurement of two-dimensional movement parameters of the carotid artery wall for early detection of arteriosclerosis: a preliminary clinical study. , 2011, Ultrasound in medicine & biology.

[15]  Andreas Jakobsson,et al.  Blood velocity estimation using ultrasound and spectral iterative adaptive approaches , 2011, Signal Process..

[16]  Denis Friboulet,et al.  Multiview myocardial tracking in echocardiographic 2D sequences using shape and motion constrained level-set , 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.