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Reducing Noises and Artifacts Simultaneously of Low-Dosed X-Ray Computed Tomography Using Bilateral Filter Weighted by Gaussian Filtered Sinogram

机译:使用高斯滤波后的汉字加权的双边滤波器同时减少低剂量X射线计算机断层扫描的噪声和伪像

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摘要

Existing sinogram restoration methods cannot handle noises and nonstationary artifacts simultaneously. Although bilateral filter provides an efficient way to preserve image details while denoising, its performance in sinogram restoration for low-dosed X-ray computed tomography (LDCT) is unsatisfied. The main reason for this situation is that the range filter of the bilateral filter measures similarity by sinogram values, which are polluted seriously by noises and nonstationary artifacts of LDCT. In this paper, we propose a simple method to obtain satisfied restoration results for sinogram of LDCT. That is, the range filter weighs the similarity by Gaussian smoothed sinogram. Since smoothed sinogram can reduce the influence of both noises and nonstationary artifacts for similarity measurement greatly, our new method can provide more satisfied denoising results for sinogram restoration of LDCT. Experimental results show that our method has good visual quality and can preserve anatomy details in sinogram restoration even in both noises and non-stationary artifacts.
机译:现有的正弦图恢复方法不能同时处理噪声和非平稳伪像。尽管双边滤波器提供了一种在去噪时保留图像细节的有效方法,但它在低剂量X射线计算机断层扫描(LDCT)的正弦图恢复中的性能仍不令人满意。造成这种情况的主要原因是,双边滤波器的范围滤波器通过正弦图值来衡量相似性,而正弦图值会被噪声和LDCT的非平稳伪影严重污染。在本文中,我们提出了一种简单的方法来获得满意的LDCT正弦图恢复结果。即,范围滤波器通过高斯平滑正弦图加权相似度。由于平滑后的正弦图可以大大减少噪声和非平稳伪影对相似度测量的影响,因此我们的新方法可以为LDCT的正弦图恢复提供更令人满意的去噪结果。实验结果表明,我们的方法具有良好的视觉质量,即使在噪声和非平稳伪像中,也可以保留正弦图修复中的解剖结构细节。

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  • 来源
    《Mathematical Problems in Engineering》 |2012年第6期|138581.1-138581.14|共14页
  • 作者单位

    School of Automation Engineering, University of Electronic Science and Technology of China,Chengdu 611731, China;

    School of Computer Science, Sichuan Normal University, Chengdu 610101, China;

    Institute of Medical Information and Technology, School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China;

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