A projection-domain iterative algorithm for metal artifact reduction by minimizing the total-variation norm and the negative-pixel energy.
A projection-domain iterative algorithm for metal artifact reduction by minimizing the total-variation norm and the negative-pixel energy.
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DOI：
10.1186/s42492-021-00094-w
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发表时间：
2022-01-02
影响因子：
--
通讯作者：
Zeng GL
中科院分区：
文献类型：
--
作者：
Zeng GL
X射线计算机断层扫描中的金属物体会导致严重的伪影。最先进的金属伪影减少方法属于正弦图修复类别，并且是迭代方法。本文提出了一种投影域算法来减少金属伪影。在该算法中，未知量是金属影响的投影，而目标函数是建立在图像域。在目标函数中没有使用数据保真度项。该算法的目标函数由两个项组成：金属去除图像的总变化和图像中负值像素的能量。在修改金属影响的投影之后，通过滤波反投影算法重建最终图像。真实的实验数据验证了该算法的可行性。
Metal objects in X-ray computed tomography can cause severe artifacts. The state-of-the-art metal artifact reduction methods are in the sinogram inpainting category and are iterative methods. This paper proposes a projection-domain algorithm to reduce the metal artifacts. In this algorithm, the unknowns are the metal-affected projections, while the objective function is set up in the image domain. The data fidelity term is not utilized in the objective function. The objective function of the proposed algorithm consists of two terms: the total variation of the metal-removed image and the energy of the negative-valued pixels in the image. After the metal-affected projections are modified, the final image is reconstructed via the filtered backprojection algorithm. The feasibility of the proposed algorithm has been verified by real experimental data.
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影响因子：
5.5
作者：
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通讯作者：
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DOI：
10.1016/j.ijrobp.2006.09.045
发表时间：
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