Nonlinear propagation delay and pulse distortion resulting from dual frequency band transmit pulse complexes

Ultrafast Radial Modulation Imaging

Radial modulation imaging improves the detection of microbubbles at high frequency using a dual ultrasonic excitation. However, the synchronization between the imaging pulses is nontrivial because microbubbles need to be interrogated in the compression and the rarefaction phase, and the time-delay difference from dispersion has to be corrected. To address these issues, we propose the use of ultrafast radial modulation imaging (uRMI). In this technique, a beat frequency between the modulation pulse (around 1 MHz) and the ultrafast pulse-repetition frequency was exploited to separate microbubbles from tissue phantom in vitro. This led to a modulated images' set in the spectral domain of the slow time that may then be demodulated through a digital lock-in amplifier to retrieve the contrast image. Ultrafast RMI, applied on a flow phantom with microbubbles, provided a contrast-to-tissue ratio from 7.2 to 14.8 dB at 15 MHz. For flow speed lower than 0.05 mL/min, uRMI (16 dB) provided a better contrast-to-tissue ratio than other techniques: singular value decomposition spatiotemporal filter (11 dB), amplitude modulation (9 dB), or microbubbles disruption (6 dB). This technique may then be suitable to improve the detection of targeted microbubbles, in ultrasound molecular imaging applications, and the detection of extremely slow microbubbles moving in the finest vessels in ultrasound localization microscopy.

Nonlinear bulk elasticity imaging using dual frequency ultrasound

The nonlinear acoustic bulk properties of tissue, e.g., the coefficient of nonlinearity, β_n, or the nonlinear bulk elasticity, β_p=β_nκ₀, have been shown to be promising parameters for tissue characterization due to their sensitivity to tissue structure. Previously developed methods for imaging these parameters using single frequency ultrasound have shown success in a laboratory setting using the transmission mode. In the pulse-echo mode, however, unknown absorption, diffraction, and speckle produce unreliable estimates and instability, causing these methods to have achieved no clinical relevance. In this paper, a pulse-echo method for measurement of the nonlinear bulk elasticity is presented using a dual frequency approach. The method is less sensitive to diffraction and absorption due to a separate low frequency manipulation wave. The technique is tested in both simulations and in vitro in a heterogeneous phantom with two regions of different nonlinear properties. Both in simulations and in vitro, a spatial β_p map is produced where the two regions are clearly distinguished. In addition, the quantitative estimates of β_p obtained are close to the expected values, making the method a promising first step toward in vivo imaging of nonlinear bulk properties.

Exploiting Ballou's rule for better tissue classification

Ultrasound tissue characterization based on the coefficient of nonlinearity, β_n = 1 + B/2A, has been demonstrated to produce added diagnostic value due to its large variation and sensitivity to tissue structure. However, the parameter has been observed to be significantly correlated to the speed of sound and density. These relationships are analyzed empirically as well as theoretically by developing a pressure-density relation based on a thermodynamic model and the Mie intermolecular potential. The results indicate that for many soft tissues, the coefficient of nonlinearity is largely determined by the isentropic compressibility, κ_s. Consequently, for tissue characterization, estimating the nonlinear response of the medium, given by β_p = β_nκ_s, appears to be beneficial due to correlated quantities.

Adaptive reverberation noise delay estimation for reverberation suppression in dual band ultrasound imaging

The behavior of the propagation delays introduced in dual frequency band ultrasound imaging is discussed. In particular, the delay of reverberation noise components is examined. Using a delay corrected subtraction (DCS) method, it is possible to suppress the reverberation noise if the behavior of the propagation delays is known. Here, a signal adaptive estimation for the reverberation delay is introduced and applied through DCS to suppress reverberation noise in a numerically simulated signal. The reverberation reduction is compared to DCS suppression using a simpler delay estimation and shows that a signal based adaptive estimation yields a improved suppression of reverberation noise. The study indicates that the advantage of the adaptive estimation is highest when the medium has changing nonlinearity with depth.

Radial modulation contrast imaging using a 20-MHz single-element intravascular ultrasound catheter

Contrast-enhanced intravascular ultrasound imaging is a promising tool for the characterization of coronary vasa vasorum proliferation, which has been identified as a marker of, and possible etiologic factor in, the development of high-risk atherosclerotic plaques. Resonance-based nonlinear detection methods have required the development of prototype catheters which are not commercially available, thus limiting clinical translation. In this study, we investigated the performances of a radial modulation imaging approach (25/3 MHz combination) using simulations, implemented it on a clinical 20-MHz rotating catheter, and tested it in a wall-less tissue-mimicking flow phantom perfused with lipid-encapsulated microbubbles (MBs). The effects of the phase lag, low-frequency pressure, and MB concentration on the envelope subtracted radial modulation signals were investigated as a function of depth. Our dual-pulse dual-frequency approach produced contrast- specific images with contrast-to-tissue improvements over B-mode of 15.1 ± 2.1 dB at 2 mm and 6.8 ± 0.1 dB at 4 mm depths. Using this imaging strategy, 200-μm-diameter cellulose tubing perfused with MBs could be resolved while surrounding tissue scattering was suppressed. These results raise promise for the detection of coronary vasa vasorum and may ultimately facilitate the detection of plaque at risk for rupture.

Methods for reverberation suppression utilizing dual frequency band imaging

Reverberations impair the contrast resolution of diagnostic ultrasound images. Tissue harmonic imaging is a common method to reduce these artifacts, but does not remove all reverberations. Dual frequency band imaging (DBI), utilizing a low frequency pulse which manipulates propagation of the high frequency imaging pulse, has been proposed earlier for reverberation suppression. This article adds two different methods for reverberation suppression with DBI: the delay corrected subtraction (DCS) and the first order content weighting (FOCW) method. Both methods utilize the propagation delay of the imaging pulse of two transmissions with alternating manipulation pressure to extract information about its depth of first scattering. FOCW further utilizes this information to estimate the content of first order scattering in the received signal. Initial evaluation is presented where both methods are applied to simulated and in vivo data. Both methods yield visual and measurable substantial improvement in image contrast. Comparing DCS with FOCW, DCS produces sharper images and retains more details while FOCW achieves best suppression levels and, thus, highest image contrast. The measured improvement in contrast ranges from 8 to 27 dB for DCS and from 4 dB up to the dynamic range for FOCW.