用于无损检测的太赫兹计算机断层扫描

Peter Fosodeder, M. Pfleger, S. van Frank, C. Rankl
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摘要

本文描述了一个完整的太赫兹计算机断层成像系统。从基于几何光学的物理成像模型出发,推导了一种图像重建算法。该算法利用样品太赫兹时域光谱测量获得的原始时域测量信号来计算样品截面。特别地,对发射太赫兹脉冲的相位进行了评估,用于图像重建。结果表明,与仅基于吸收的重构相比,重构效果有明显改善。如果对样品几何形状有初步的了解,可以考虑在样品界面上发生的折射效应,以便获得更准确的测量结果。这在工业无损检测中尤其有益,在工业无损检测中,通常对样品进行偏离预定义规格或几何形状的测试。使用3d打印基准样品演示了150 μ m左右的典型精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THz computed tomography for non-destructive testing
This work describes a complete THz computed tomography imaging system. Starting from a physical imaging model based on geometrical optics, an image reconstruction algorithm is derived. This algorithm uses the raw time-domain measurement signals acquired from THz time-domain spectroscopy measurements of the sample in order to calculate the sample cross-section. In particular, the phase of the transmitted THz pulse is evaluated for image reconstruction. The results show a significant improvement compared to the reconstruction based solely on the absorption. If preliminary knowledge about the sample geometry is available, refraction effects occurring on the sample interfaces can be considered in order to obtain a more accurate measurement result. This is especially beneficial in industrial non-destructive testing, where a sample is typically tested for deviations from a predefined specification or geometrical shape. Typical accuracies around 150 µm are demonstrated using 3d printed benchmark samples.
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