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首页> 外文会议>2nd Beijing International Conference On Physics and Engineering of Medical Imaging, Oct 24-28, 2001, Beijing, P.R. China >Noise Treatment of Low-Dose CT Projections by K-L Domain Penalized Weighted Least-Square Smoothing
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Noise Treatment of Low-Dose CT Projections by K-L Domain Penalized Weighted Least-Square Smoothing

机译：低剂量CT投影的K-L域加权加权最小二乘平滑处理噪声

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摘要

Projection data used for the reconstruction of low-dose Computed Tomography (CT) are degraded by many factors and pre-reconstruction corrections. These make the noise property of proj ection image difficult to analyze and render a very challenging task for noise reduction. In this study, we first investigate the nonlinear noise property of low-dose CT projection data by analyzing a repeatedly obtained experimental data set. Since the noisy CT projection data can be regarded as normally distributed, with nonlinear signal-dependent variance, we propose a K-L domain penalized weighted least-square (PWLS) smoothing method for the accurate treatment of this kind of noise.
机译：低剂量计算机断层扫描（CT）重建所用的投影数据受许多因素和重建前校正的影响而降低。这些使得投影图像的噪声特性难以分析，并且为降低噪声提出了非常具有挑战性的任务。在这项研究中，我们首先通过分析反复获得的实验数据集来研究低剂量CT投影数据的非线性噪声特性。由于嘈杂的CT投影数据可以被视为正态分布，具有非线性的信号相关方差，因此我们提出了一种K-L域罚分加权最小二乘（PWLS）平滑方法来精确处理此类噪声。

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