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Implementation and evaluation of the ultrasonic TOF tomography for the NDT of concrete structures

机译:超声TOF层析成像技术在混凝土结构无损检测中的实现与评价

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In contrast to X-rays, ultrasound propagates along a curved path due to spatial variations in the refraction index of the medium. Thus, for ultrasonic TOF tomography, the propagation path of the ultrasound must be known to correctly reconstruct the slice image. In this paper, we propose a new path determination algorithm, which is essentially a numerical solution of the eikonal equation viewed as a boundary value problem. Due to the curved propagation path of ultrasound, the image reconstruction algorithm takes the algebraic approach, for instance, the ART or the SART. Note that the image reconstruction step requires the propagation path and the paths can be determined only if the image is known. Thus, an iterative approach is taken to solve this apparent dilemma. First, the slice image is initially reconstructed assuming straight propagation paths. Then, the paths are computed based on the recently reconstructed image (using our path determination algorithm) which is then used to update the reconstructed image. This process of image reconstruction and path determination repeats until convergence. This approach is tested with simulation data as well as TOF data from a real concrete structure using a mechanical scanner.
机译:与X射线相反,由于介质折射率的空间变化,超声波沿弯曲路径传播。因此,对于超声TOF层析成像,必须知道超声的传播路径以正确地重建切片图像。在本文中,我们提出了一种新的路径确定算法,该算法本质上是将电子方程视为边值问题的数值解。由于超声波的弯曲传播路径,图像重建算法采用代数方法,例如ART或SART。注意,图像重建步骤需要传播路径,并且仅当图像已知时才可以确定路径。因此,采取了一种迭代方法来解决这一明显的难题。首先,最初假设直线传播路径来重建切片图像。然后,基于最近重建的图像(使用我们的路径确定算法)计算路径,然后将其用于更新重建的图像。重复此图像重建和路径确定过程,直到收敛为止。使用机械扫描仪,通过仿真数据以及来自真实混凝土结构的TOF数据对这种方法进行了测试。

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