自由体积理论下液体声速、声速系数及非线性声参量B/A的研究

用液体自由体积理论研究了有机液体的声速，声速系数及非线性声参量与分子结构和分子势能的关系。结果表明分子间的作用力是影响声速，声速系数及非线性声参量的主要原因。同时非线性声参量Ｂ／Ａ也体现了液体分子结构方面的信息。     

多元有机混合液体声速温度系数的预测方法

根据Jacobson理论及液体声速与分子自由程的关系 ,导出了多元有机混合液体声速与各组分声速之间的关系 ;推导出多元有机混合液体声速温度特性的预测公式 ,并根据组成多元有机混合液各组分特性参量 (摩尔分数、密度、自由程、等压膨胀系数等 ) ,利用文中给出的多元有机混合液声速的温度特性预测公式 ,对由丙酮、四氯化碳、苯、甲醇组成的三元系、四元系有机混合液体的声速温度特性进行了理论值的预测 ,理论预测结果与实验测量结果符合较好     

硫酸水溶液的超声研究

本文研究了硫酸水溶液的超声波特性。用脉冲回波法在０－７５℃温度范围测量了不同浓度硫酸的声速，并计算得诸如摩尔声速，声阻抗，经热压缩系数，分子间自由程以及纯Ｈ２ＳＯ４液体的声速等参数，另外还推算出逾量声速，逾量绝热系数，逾量分子间自由程。     

海水声速测量方法及其应用

在水声研究和海洋工程中,广泛地需要测量海水声速。纵观水声技术的发展历史,声速及其测量方法和手段一直是水声研究的基本问题。从水下声传播速度的物理特性出发,介绍了典型海洋声速剖面的特征,以声速剖面对声传播的影响为关注对象,示例说明了其对声纳最佳探测深度及声纳探测距离的影响,以及声速测量在大洋测温中的应用。在声速剖面测量方法方面,介绍总结了国内外的声速测量设备的原理、技术发展趋势以及主要产品。最后给出了海洋声速剖面测量的发展展望。     

基于参考点之间水声传播的声速剖面反演

针对海洋声速剖面测量成本高、长期观测困难的难题,文章初步研究了利用水下固定参考点与水面已知位置之间的声信号传播时延来反演海水声速剖面的方法,提出了一种等声速分层模型下的声速剖面反演方法。将海水分层,对声信号传播过程进行建模,推导反演声速的非线性方程组;再利用牛顿迭代法,对非线性方程组进行求解。通过仿真和海试试验数据处理,分层数不同时,反演声速与实际声速之间的误差随着分层数的增加而变小,声速误差最小为0.80 m·s^-1左右,验证了反演方法的有效性与准确性。     

非线性声参量B/A和声速与物质结构的关系研究

本文用我们改进的热力学方法，在温度２０℃和５ＭＨＺ的频率下，测量了三类有机液的同分异构体──正丙醇、异丙醇；正丁醇、异丁醇、叔丁醇；正戊醇、异戊醇、仲戊醇、叔戊醇的非线性声参量Ｂ／Ａ。旨在直接探讨物质结构的变化与非线性声参量的关系。实验结果表明：物质结构对Ｂ／Ａ的影响确实存在的。这对于医学超声的临床应具有重要实际意义。     

南海海底粉质黏土沉积物声速和衰减的全浸式测量

提出了一种宽带声速和声衰减测量方法,该方法利用全浸式传感器测量技术(FITM)在实验室环境下对超细沉积物(平均粒径为5.27 μm,孔隙率为79%)的声速和声衰减进行了测量。为确定该实验室测量方法的可靠性,将该声速与声衰减关系与Kramer-Kronig关系进行了比较。同时,Hamilton经典曲线表明,该实验室测量结果符合声速与孔隙度关系,且声衰减在Hamilton曲线置信区间内。测量数据满足有效密度流体模型和颗粒剪切模型的声速和衰减预测曲线,进一步证明了实验室测量方法的准确性和有效性。     

差分飞行时间法精密测量高压液体声速的研究

基于差分飞行时间法建立了一套可直接测量高压液体声速的实验装置,自主设计和研制了双超声腔体,建立了精密声速测量系统、高压液体充注系统、精密压力和温度测量系统以及数据采集和分析系统。在此系统上,开展了303～353K,压力高至10MPa的纯水声速测量研究,声速测量相对标准不确定度为0.018% (k=1),纯水声速测量结果与国际标准状态方程及已有实验数据具有良好的一致性。研究成果为后续开展其他液体如海水、新型燃料等工质的精密声速测量奠定了基础。     

用20MHz静电换能器精密测量超声波声速和声衰减系数

用静电换能器对小尺寸固体试样作了高精度超声测量,由于静电换能器非接触的特点,避免了耦合层及换能器本身对测量引入的误差。当超声波频率为20MHz时,通过衍射修正后,声速测量的精度优于10^-5,声衰减系数测量的精度小于2%。由此得到的声学参量较正确地反映了试样的声学特性。     

浅海声速剖面对吊放声纳探测距离的影响

吊放声纳的作用距离不仅和自身设备性能有关,还和海洋水声环境特性及吊放声纳入水深度有着密切的关系.本文阐述了浅海不同声速剖面中的声传播特性,通过仿真声线轨迹分析了几种典型的浅海声速剖面对声传播的影响.通过对声纳、水声环境以及目标的模型化计算,利用射线模型仿真了几种不同声速剖面情况下吊放声纳的主动作用距离.分析了吊放声纳入...     

Estimation of a dense velocity field based on the statistics of dynamic speckle

This article presents a new technique for flow velocity estimation from ultrasound image sequences. The method is based on the analysis of the temporal statistics of the speckle pattern in motion. We demonstrate that the biased local temporal variance (LTV) of a single pixel within an image of dynamic speckle is related to velocity. This allows us to estimate the total velocity magnitude without the requirement of neither block matching nor autocovariance estimation. A new estimator, asymptotically without bias, called LTV is presented. Results conducted on experimental B mode sequences (40 MHz) of blood mimicking fluid with calibrated velocities are presented. Performances of the estimator are studied and results show good agreement with the statistical model. Magnitude of the 3D velocity vector in the range of 0.1–2 mm/s have been estimated with a standard deviation error of less than 12%. The validity of the method and its limitations are then discussed. © 2010 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 20, 268‐276, 2010     

Estimation of velocity vector angles using the directional cross-correlation method

A method for determining both velocity magnitude and angle in any direction is suggested. The method uses focusing along the velocity direction and cross-correlation for finding the correct velocity magnitude. The angle is found from beamforming directional signals in a number of directions and then selecting the angle with the highest normalized correlation between directional signals. The approach is investigated using Field II simulations and data from the experimental ultrasound scanner RASMUS and a circulating flow rig with a parabolic flow having a peak velocity of 0.3 m/s. A 7-MHz linear array transducer is used with a normal transmission of a focused ultrasound field. In the simulations the relative standard deviation of the velocity magnitude is between 0.7% and 7.7% for flow angles between 45 degrees and 90 degrees. The study showed that angle estimation by directional beamforming can be estimated with a high precision. The angle estimation performance is highly dependent on the choice of the time ktprf x Tprf (correlation time) between signals to correlate. One performance example is given with a fixed value of ktprf for all flow angles. The angle estimation on measured data for flow at 60 degrees to 90 degrees yields a probability of valid estimates between 68% and 98%. The optimal value of ktprf for each flow angle is found from a parameter study; with these values, the performance on simulated data yields angle estimates with no outlier estimates and with standard deviations below 2 degrees.     

High frame-rate blood vector velocity imaging using plane waves: simulations and preliminary experiments

Conventional ultrasound methods for acquiring color images of blood velocity are limited by a relatively low frame-rate and are restricted to give velocity estimates along the ultrasound beam direction only. To circumvent these limitations, the method presented in this paper uses 3 techniques: 1) The ultrasound is not focused during the transmissions of the ultrasound signals; 2) A 13-bit Barker code is transmitted simultaneously from each transducer element; and 3) The 2-D vector velocity of the blood is estimated using 2-D cross-correlation. A parameter study was performed using the Field II program, and performance of the method was investigated when a virtual blood vessel was scanned by a linear array transducer. An improved parameter set for the method was identified from the parameter study, and a flow rig measurement was performed using the same improved setup as in the simulations. Finally, the common carotid artery of a healthy male was scanned with a scan sequence that satisfies the limits set by the Food and Drug Administration. Vector velocity images were obtained with a frame-rate of 100 Hz where 40 speckle images are used for each vector velocity image. It was found that the blood flow approximately followed the vessel wall, and that maximum velocity was approximately 1 m/s, which is a normal value for a healthy person. To further evaluate the method, the test person was scanned with magnetic resonance (MR) angiography. The volume flow derived from the MR scanning was compared with that from the ultrasound scanning. A deviation of 9% between the 2 volume flow estimates was found.     

Ultrasound three-dimensional velocity measurements by featuretracking

This article describes a new angle-independent method suitable for three-dimensional (3-D) blood flow velocity measurement that tracks features of the ultrasonic speckle produced by a pulse echo system. In this method, a feature is identified and followed over time to detect motion. Other blood flow velocity measurement methods typically estimate velocity using one- (1-D) or two-dimensional (2-D) spatial and time information. Speckle decorrelation due to motion in the elevation dimension may hinder this estimate of the true 3-D blood flow velocity vector. Feature tracking is a 3-D method with the ability to measure the true blood velocity vector rather than a projection onto a line or plane. Off-line experiments using a tissue phantom and a real-time volumetric ultrasound imaging system have shown that the local maximum detected value of the speckle signal may be identified and tracked for measuring velocities typical of human blood flow. The limitations of feature tracking, including the uncertainty of the peak location and the duration of the local maxima are discussed. An analysis of the expected error using this method is given     

A new estimator for vector velocity estimation

A new estimator for determining the two-dimensional velocity vector using a pulsed ultrasound field is derived. The estimator uses a transversely modulated ultrasound field for probing the moving medium under investigation. A modified autocorrelation approach is used in the velocity estimation. The new estimator automatically compensates for the axial velocity when determining the transverse velocity. The estimation is optimized by using a lag different from one in the estimation process, and noise artifacts are reduced by averaging RF samples. Further, compensation for the axial velocity can be introduced, and the velocity estimation is done at a fixed depth in tissue to reduce the influence of a spatial velocity spread. Examples for different velocity vectors and field conditions are shown using both simple and more complex field simulations. A relative accuracy of 10.1% is obtained for the transverse velocity estimates for a parabolic velocity profile for flow transverse to the ultrasound beam and a SNR of 20 dB using 20 pulse-echo lines. The overall bias in the estimates was -4.3%     

Transient surface velocity measurements in a liquid by an active ultrasonic probe

A high sensitive ultrasonic method for measuring the surface velocity in a liquid is described. This method is based on the detection of the phase of a high frequency continuous ultrasonic wave (probe beam) reflected from the moving surface. The analysis shows that the main phenomenon is the interaction, through the acoustic nonlinearity parameter B/A of the fluid, between the reflected carrier wave and the low frequency pressure wave transmitted by the moving surface in the liquid. This interaction produces a phase-shift of the carrier proportional to the surface velocity and to the time delay undergone by the probe beam. Results of experiments carried out in water with a 30-MHz focused transducer probe are in good agreement with the analysis. Surface velocity smaller than 0.04 mm/s (i.e., mechanical displacements down to 3 pin) can be detected in a 5 MHz bandwidth. Lateral resolution of 0.5 mm has been achieved. Compared to optical techniques, this method has the advantages of compactness and of a low sensitivity to surface roughness.     

A new method for estimation of velocity vectors

The paper describes a new method for determining the velocity vector of a remotely sensed object using either sound or electromagnetic radiation. The movement of the object is determined from a field with spatial oscillations in both the axial direction of the transducer and in one or two directions transverse to the axial direction. By using a number of pulse emissions, the inter-pulse movement can be estimated and the velocity found from the estimated movement and the time between pulses. The method is based on the principle of using transverse spatial modulation for making the received signal influenced by transverse motion. Such a transverse modulation can be generated by using apodization on individual transducer array elements together with a special focusing scheme. A method for making such a field is presented along with a suitable two-dimensional velocity estimator. An implementation usable in medical ultrasound is described, and simulated results are presented. Simulation results for a flow of 1 m/s in a tube rotated in the image plane at specific angles (0, 15, 35, 55, 75, and 90 degrees) are made and characterized by the estimated mean value, estimated angle, and the standard deviation in the lateral and longitudinal direction. The average performance of the estimates for all angles is: mean velocity 0.99 m/s, longitudinal S.D. 0.015 m/s, and lateral S.D. 0.196 m/s. For flow parallel to the transducer the results are: mean velocity 0.95 m/s, angle 0.10, longitudinal S.D. 0.020 m/s, and lateral S.D. 0.172 m/s.     

Relative measurements of the velocity and attenuation of ultrasound in highly absorbing liquids

It is shown that it is possible to use a continuous sinusoidal signal to make relative measurements of the velocity and absorption coefficient of ultrasound in highly absorbing liquids such as liquid crystals. Compared with the traditional variable-frequency pulse-phase method, the technique described has the advantage of giving a direct reading of the results under dynamic measurement conditions. A block diagram and the characteristics of the equipment for measuring the anisotropy of acoustic parameters by both pulse and continuous methods are presented.Translated from Izmeritel'naya Tekhnika, No. 1, pp. 66–67, January, 1995.     

Lateral blood flow velocity estimation based on ultrasound speckle size change with scan velocity

Conventional (Doppler-based) blood flow velocity measurement methods using ultrasound are capable of resolving the axial component (i.e., that aligned with the ultrasound propagation direction) of the blood flow velocity vector. However, these methods are incapable of detecting blood flow in the direction normal to the ultrasound beam. In addition, these methods require repeated pulse-echo interrogation at the same spatial location. A new method has been introduced which estimates the lateral component of blood flow within a single image frame using the observation that the speckle pattern corresponding to blood reflectors (typically red blood cells) stretches (i.e., is smeared) if the blood is moving in the same direction as the electronically-controlled transducer line selection in a 2-D image. The situation is analogous to the observed distortion of a subject photographed with a moving camera. The results of previous research showed a linear relationship between the stretch factor (increase in lateral speckle size) and blood flow velocity. However, errors exist in the estimation when used to measure blood flow velocity. In this paper, the relationship between speckle size and blood flow velocity is investigated further with both simulated flow data and measurements from a blood flow phantom. It can be seen that: 1) when the blood flow velocity is much greater than the scan velocity (spatial rate of A-line acquisition), the velocity will be significantly underestimated because of speckle decorrelation caused by quick blood movement out of the ultrasound beam; 2) modeled flow gradients increase the average estimation error from a range between 1.4% and 4.4%, to a range between 4.4% and 6.8%; and 3) estimation performance in a blood flow phantom with both flow gradients and random motion of scatterers increases the average estimation error to between 6.1% and 7.8%. Initial attempts at a multiple-scan strategy for estimating flow by a least-squares model suggest the possibility of increased accuracy using multiple scan velocities.