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Imaging Ultrasonic Dispersive Guided Wave Energy in Long Bones Using Linear Radon Transform

机译:使用线性Rad变换对长骨中的超声分散导波能量成像

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Multichannel analysis of dispersive ultrasonic energy requires a reliable mapping of the data from the time-distance (. t-. x) domain to the frequency-wavenumber (. f-. k) or frequency-phase velocity (. f-. c) domain. The mapping is usually performed with the classic 2-D Fourier transform (FT) with a subsequent substitution and interpolation via c= 2. πf/. k. The extracted dispersion trajectories of the guided modes lack the resolution in the transformed plane to discriminate wave modes. The resolving power associated with the FT is closely linked to the aperture of the recorded data. Here, we present a linear Radon transform (RT) to image the dispersive energies of the recorded ultrasound wave fields. The RT is posed as an inverse problem, which allows implementation of the regularization strategy to enhance the focusing power. We choose a Cauchy regularization for the high-resolution RT. Three forms of Radon transform: adjoint, damped least-squares, and high-resolution are described, and are compared with respect to robustness using simulated and cervine bone data. The RT also depends on the data aperture, but not as severely as does the FT. With the RT, the resolution of the dispersion panel could be improved up to around 300% over that of the FT. Among the Radon solutions, the high-resolution RT delineated the guided wave energy with much better imaging resolution (at least 110%) than the other two forms. The Radon operator can also accommodate unevenly spaced records. The results of the study suggest that the high-resolution RT is a valuable imaging tool to extract dispersive guided wave energies under limited aperture.
机译:色散超声能量的多通道分析需要可靠地将数据从时域(。t-。x)映射到频率波数(。f-。k)或频率相速度(。f-。c)域。通常使用经典的二维傅立叶变换(FT)进行映射,然后通过c = 2πf/进行替换和插值。 k。所提取的引导模式的色散轨迹在变换平面中缺乏分辨波模式的分辨率。与FT相关的分辨率与记录数据的孔径紧密相关。在这里,我们提出了一个线性Radon变换(RT)来成像记录的超声场的弥散能量。 RT被提出为反问题,其允许实施正则化策略以增强聚焦能力。我们为高分辨率RT选择Cauchy正则化。描述了Radon变换的三种形式:伴随,衰减最小二乘法和高分辨率,并使用模拟和鹿骨数据对鲁棒性进行了比较。 RT也取决于数据孔径,但不如FT严重。使用RT,可以将分散板的分辨率提高到比FT的分辨率高300%左右。在Radon解决方案中,高分辨率RT所描绘的导波能量具有比其他两种形式更好的成像分辨率(至少110%)。 Radon运算符还可以容纳间距不均匀的记录。研究结果表明,高分辨率RT是在有限孔径下提取色散导波能量的有价值的成像工具。

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