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A Wavelet-Based Processing method for simultaneously determining ultrasonic velocity and material thickness

机译:同时确定超声速度和材料厚度的基于小波的处理方法

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Methods of measuring ultrasonic wave velocity in an elastic sample require data on the thickness of the sample and/or the distances between the transducers and the sample. The uncertainty of the ultrasonic wave velocity measurements generally depends on that of the data available. Conversely, to determine the thickness of a material, it is necessary to have a priori information about the wave velocity. This problem is particularly hard to solve when measuring the parameters of biological specimens such as bones having a greater acoustical impedance contrast (typically 3-5 MRayl) than that of the surrounding soft tissues (typically 1.5 MRayl). Measurements of this kind cannot easily be performed. But obtaining the thickness of a bone structure and/or the ultrasonic wave velocity is a important problem, for example, in biomechanical field for the calculation of elastic modulus, or in acoustical imaging field to parameterize the images, and to reference the grey or color level set to a physical parameter. The aim of the present study was to develop a method of simultaneously and independently determining the velocity of an ultrasonic wave in an elastic sample and the wave path across the thickness of this sample, using only one acquisition in pure transmission mode. The new method, which we have called the "Wavelet-Based Processing" method, is based on the wavelet decomposition of the signals and on a suitable transmitted incident wave correlated with the experimental device, and the mathematical properties such as orthonormality, of which lend themselves well to the time-scale approach. By following an adapted algorithm, ultrasonic wave velocities in parallelepipedic plates of elastic manufactured material and the apparent thicknesses were both measured using a water tank, a mechanical device and a matched pair of 1 MHz ultrasonic focused transducers having a diameter of 3 mm, a focal length of 150 mm and beam width of 2 × 2 mm at the focus (mean temperature 22°). The results were compared with those obtained with a conventional Pulse-mode method and with the control values, to check their validity. Measurements performed on bovine and human dry cortical bone samples are also presented to assess the limitations of the method when it is applied to elastic biological samples, including those of an equal-wavelength size (≈1.5 mm). The thicknesses and the ultrasonic wave velocities were then measured in this kind of (quasi-) parallelepipedic elastic materials with an mean estimated error ranged from 1% to 3.5% compared to the referenced values.
机译:测量弹性样品中超声波速度的方法需要有关样品厚度和/或换能器与样品之间距离的数据。超声波速度测量的不确定性通常取决于可用数据的不确定性。相反,为了确定材料的厚度,必须具有关于波速的先验信息。当测量生物样本的参数(例如骨骼的声阻抗对比度(通常为3-5 MRayl)大于周围的软组织的声音(通常为1.5 MRayl))时,此问题尤其难以解决。这种测量不容易进行。但是获得骨骼结构的厚度和/或超声波速度是一个重要的问题,例如,在用于计算弹性模量的生物力学领域,或在声学成像领域,以对图像进行参数化,以及参考灰度或颜色级别设置为物理参数。本研究的目的是开发一种方法,该方法仅使用一次纯传输模式的采集,即可同时独立地确定弹性样品中的超声波速度和横跨该样品厚度的波径。我们将这种新方法称为“基于小波的处理”方法,该方法基于信号的小波分解以及与实验设备相关的合适的透射入射波,以及诸如正交性之类的数学特性。他们自己很适合时间尺度方法。通过采用自适应算法,使用水箱,机械设备和配对的直径为3 mm的1 MHz超声聚焦换能器,测量弹性制造材料的平行六面体板中的超声波速度和表观厚度焦距为150 mm,光束宽度为2×2 mm(平均温度22°)。将结果与使用常规脉冲模式方法获得的结果以及控制值进行比较,以检查其有效性。还介绍了对牛和人的干燥皮质骨样品进行的测量,以评估该方法应用于弹性生物样品(包括等波长尺寸(约1.5毫米)的弹性样品)时的局限性。然后,在这种(准)平行六面体弹性材料中测量厚度和超声波速度,与参考值相比,其平均估计误差范围为1%至3.5%。

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