Plane-wave transverse oscillation for high-frame-rate 2-D vector flow imaging

• Published in: IEEE transactions on ultrasonics, ferroelectrics, and frequency control ferroelectrics, and frequency control, 2015-12, Vol.62 (12), p.2126-2137
• Main Authors: Lenge, Matteo, Ramalli, Alessandro, Tortoli, Piero, Cachard, Christian, Liebgott, Hervé
• Format: Article
• Language: English
• Subjects: Acoustics; Algorithms; Array signal processing; Arteries; Bioengineering; Blood flow; Blood Flow Velocity - physiology; Blood Vessels - diagnostic imaging; Blood Vessels - physiology; Computer Simulation; Engineering Sciences; Estimation; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Imaging; Life Sciences; Manganese; Mathematical analysis; Models, Cardiovascular; Oscillations; Oscillators; Oscillometry - methods; Phantoms, Imaging; Plane waves; Radio frequency; Reproducibility of Results; Sensitivity and Specificity; Signal and Image processing; Simulation; Transverse oscillation; Ultrasonography, Doppler - instrumentation; Ultrasonography, Doppler - methods; Vectors (mathematics); Wavelengths
• ISSN: 0885-3010; 1525-8955
• DOI: 10.1109/TUFFC.2015.007320

Transverse oscillation (TO) methods introduce oscillations in the pulse-echo field (PEF) along the direction transverse to the ultrasound propagation direction. This may be exploited to extend flow investigations toward multidimensional estimates. In this paper, the TOs are coupled with the transmission of plane waves (PWs) to reconstruct high-framerate RF images with bidirectional oscillations in the pulse-echo field. Such RF images are then processed by a 2-D phase-based displacement estimator to produce 2-D vector flow maps at thousands of frames per second. First, the capability of generating TOs after PW transmissions was thoroughly investigated by varying the lateral wavelength, the burst length, and the transmission frequency. Over the entire region of interest, the generated lateral wavelengths, compared with the designed ones, presented bias and standard deviation of -3.3 ± 5.7% and 10.6 ± 7.4% in simulations and experiments, respectively. The performance of the ultrafast vector flow mapping method was also assessed by evaluating the differences between the estimated velocities and the expected ones. Both simulations and experiments show overall biases lower than 20% when varying the beam-to-flow angle, the peak velocity, and the depth of interest. In vivo applications of the method on the common carotid and the brachial arteries are also presented.