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首页> 外文期刊>Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic >A statistical iteration approach with energy minimization to sinogram noise reduction for low-dose X-ray CT
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A statistical iteration approach with energy minimization to sinogram noise reduction for low-dose X-ray CT

机译：用于低剂量X射线CT的能量最小化以减少正弦图噪声的统计迭代方法

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摘要

Low-dose CT imaging has been particularly used in modern medical practice for its advantage on reducing the radiation dose to patients. However, excessive quantum noise is present in low dose X-ray imaging along with the decrease of the radiation dose; thus, there are obvious streak-like artifacts in reconstructed images. The statistical iterative reconstruction approach applied to the noisy sinogram before a filtered back-projection (FBP) is a resolution to deal with the noisy problem. In this paper, the statistical property of the noise sinogram was considered to achieve a satisfactory image reconstruction and a statistical iterative method with energy minimization was proposed to address the problem of streak-like artifacts. Simulations were performed and indicated that the proposed method could suppress noise and obviously decrease streak-like artifacts in reconstructed images.
机译：低剂量CT成像因其在减少对患者的辐射剂量上的优势而特别用于现代医学实践。然而，随着辐射剂量的减少，低剂量X射线成像中会存在过多的量子噪声;因此，在重建图像中存在明显的条纹状伪像。在滤波反投影（FBP）之前应用于噪声正弦图的统计迭代重建方法是解决噪声问题的一种解决方案。本文考虑了噪声正弦图的统计特性以实现令人满意的图像重建，并提出了一种能量最小化的统计迭代方法来解决条纹状伪像的问题。仿真结果表明，该方法可以抑制噪声，并明显减少重建图像中的条纹状伪像。

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