ABSTRACT Digital tomosynthesis (DTS) has been widely used in both industrial nondestructive testing and medical x-ray imaging as a popular multiplanar imaging modality. However, although it provides some of the tomographic benefits of computed tomography (CT) at reduced dose and imaging time, the image characteristics are relatively poor due to blur artifacts originated from incomplete data sampling for a limited angular range and also aspects inherent to imaging system, including finite focal spot size of the x-ray source, detector resolution, etc. In this work, in order to overcome these difficulties, we propose an intuitive method in which a compressed-sensing (CS)-based deblurring scheme is applied to the projection images before common DTS reconstruction. We implemented the proposed deblurring algorithm and performed a systematic experiment to demonstrate its viability for improving the image characteristics in DTS. According to our results, the proposed method appears to be effective for the blurring problems in DTS and seems to be promising to our ongoing application to x-ray nondestructive testing.

中文翻译：

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使用基于压缩传感 (Cs) 的预去模糊方案改善数字断层合成 (DTS) 图像特性的可行性研究

摘要 作为一种流行的多平面成像方式，数字断层合成 (DTS) 已广泛应用于工业无损检测和医学 X 射线成像。然而，尽管它在减少剂量和成像时间的情况下提供了计算机断层扫描 (CT) 的一些断层扫描优势，但由于有限角度范围内不完整的数据采样以及成像系统固有的方面造成的模糊伪影，图像特征相对较差，包括 X 射线源的有限焦斑尺寸、探测器分辨率等。在这项工作中，为了克服这些困难，我们提出了一种直观的方法，其中基于压缩传感 (CS) 的去模糊方案应用于普通 DTS 重建前的投影图像。我们实现了所提出的去模糊算法并进行了系统实验，以证明其在 DTS 中改善图像特征的可行性。根据我们的结果，所提出的方法似乎对 DTS 中的模糊问题有效，并且似乎对我们正在进行的 X 射线无损检测应用很有希望。