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Overview of X-ray Scatter in Cone-beam Computed Tomography and Its Correction Methods

机译:锥形束计算机断层摄影术中的X射线散射概述及其校正方法

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X-ray cone-beam computed tomography (CBCT) is widely used nowadays, mainly for its large volume coverage and hardware compatibility with open-gantry x-ray imaging systems. As the size of x-ray illumination increases, an inevitable and adverse effect is the boost of scatter contamination on the x-ray images, which becomes one of the fundamental limitations of CBCT imaging. The large scatter signals in CBCT cause severe streaking and cupping artifacts in the CT images and greatly hamper the applications of CBCT due to its degraded image quality as compared to that of the conventional x-ray CT scanner. Research on scatter correction has gained heated attention in recent years. In this review, we first analyze the magnitudes of scatter in CBCT and its resultant errors in the reconstructed images. The existing CBCT scatter correction methods are then summarized in several categories: pre-processing methods, and post-processing methods including measurement-based, software-based, hardware-based decomposition and hybrid methods. An important issue related to the post-processing methods, the noise increase in the scatter corrected images, is also discussed. Although numerous scatter correction methods have been proposed in the literature, each approach has its own strengths and drawbacks and an optimal and standard method is still elusive. This review provides a comprehensive summary of the current research on scatter correction, and suggests future directions from the authors' perspective.
机译:X射线锥形束计算机断层扫描(CBCT)如今已被广泛使用,主要是因为它的大体积覆盖范围以及与开放式X射线成像系统的硬件兼容性。随着X射线照度的增加,不可避免的不利影响是X射线图像上散射污染的增加,这成为CBCT成像的基本限制之一。与传统的X射线CT扫描仪相比,CBCT中的大散射信号会在CT图像中造成严重的条纹和杯形伪影,并且由于CBCT的图像质量下降而极大地阻碍了CBCT的应用。近年来,对散射校正的研究引起了广泛的关注。在本文中,我们首先分析了CBCT中的散射量及其在重建图像中的误差。然后,将现有的CBCT散射校正方法概括为几类:预处理方法和后处理方法,包括基于测量的,基于软件的,基于硬件的分解和混合方法。还讨论了与后处理方法有关的重要问题,即散射校正图像中的噪声增加。尽管在文献中已经提出了许多散射校正方法,但是每种方法都有其自身的优点和缺点,而最佳和标准的方法仍然难以捉摸。这篇综述提供了有关散射校正当前研究的全面总结,并从作者的角度提出了未来的方向。

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