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Low-frequency noise effect on terahertz tomography using thermal detectors

机译:使用热探测器对太赫兹层析成像的低频噪声影响

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In this paper, the impact of low-frequency noise on terahertz-computed tomography (THz-CT) is analyzed for several measurement configurations and pyroelectric detectors. We acquire real noise data from a continuous millimeter-wave tomographic scanner in order to figure out its impact on reconstructed images. Second, noise characteristics are quantified according to two distinct acquisition methods by (i) extrapolating from experimental acquisitions a sinogram for different noise backgrounds and (ii) reconstructing the corresponding spatial distributions in a slice using a CT reconstruction algorithm. Then we describe the low-frequency noise fingerprint and its influence on reconstructed images. Thanks to the observations, we demonstrate that some experimental choices can dramatically affect the 3D rendering of reconstructions. Thus, we propose some experimental methodologies optimizing the resulting quality and accuracy of the 3D reconstructions, with respect to the low-frequency noise characteristics observed during acquisitions. (C) 2015 Optical Society of America
机译:在本文中,针对几种测量配置和热电探测器,分析了低频噪声对太赫兹计算机断层扫描(THz-CT)的影响。我们从连续的毫米波断层扫描仪获取真实的噪声数据,以便确定其对重建图像的影响。其次,根据两种截然不同的采集方法,对噪声特征进行量化:(i)从实验采集中外推不同噪声背景的正弦图;(ii)使用CT重建算法在切片中重建相应的空间分布。然后,我们描述了低频噪声指纹及其对重建图像的影响。由于这些观察,我们证明了一些实验选择会极大地影响重建的3D渲染。因此,相对于在采集过程中观察到的低频噪声特征,我们提出了一些实验方法来优化3D重建的结果质量和准确性。 (C)2015年美国眼镜学会

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