Gibbs-Ringing Artifact Removal Based on Local Subvoxel-Shifts
Gibbs-Ringing Artifact Removal Based on Local Subvoxel-Shifts
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DOI：
10.1002/mrm.26054
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发表时间：
2016-11-01
影响因子：
3.3
通讯作者：
Reisert, Marco
中科院分区：
文献类型：
--
作者：
Kellner, Elias;Dhital, Bibek;Reisert, Marco
目的：开发一种快速稳定的方法来校正吉布斯振铃伪影。方法：吉布斯振铃是一种众所周知的伪影，其表现为组织边界处清晰图像梯度附近的寄生振荡。其根源可以从 MRI 数据采集过程中 k 空间的截断中看出。 Gegenbauer 重建或外推法等校正技术旨在恢复这些丢失的数据。在这里，我们提出了一种简单而稳健的方法，它利用了吉布斯现象的不同观点：k 空间中的截断可以解释为底层图像与 sinc 函数的卷积。由于图像是在离散网格上重建的，振铃伪影的严重程度取决于该网格相对于边缘的位置以及函数的振荡模式。我们建议基于局部子体素位移对图像进行重新插值，以在振荡 sinc 函数的零交叉点处对振铃模式进行采样。结果：使用所提出的方法，可以通过最少量的图像平滑简单、有效且鲁棒地去除伪影。结论：该方法的鲁棒性表明它是在标准图像处理管道中实现的合适候选者。 临床常规。 (C) 2015 年国际医学磁共振学会
Purpose: To develop a fast and stable method for correcting the gibbs-ringing artifact.Methods: Gibbs-ringing is a well-known artifact which manifests itself as spurious oscillations in the vicinity of sharp image gradients at tissue boundaries. The origin can be seen in the truncation of k-space during MRI data-acquisition. Correction techniques like Gegenbauer reconstruction or extrapolation methods aim at recovering these missing data. Here, we present a simple and robust method which exploits a different view on the Gibbs-phenomenon: The truncation in k-space can be interpreted as a convolution of the underlying image with a sinc-function. As the image is reconstructed on a discretized grid, the severity of the ringing artifacts depends on how this grid is located with respect to the edge and the oscillation pattern of the function. We propose to reinterpolate the image based on local, subvoxel-shifts to sample the ringing pattern at the zero-crossings of the oscillating sinc-function.Results: With the proposed method, the artifact can simply, effectively, and robustly be removed with a minimal amount of image smoothing.Conclusions: The robustness of the method suggests it as a suitable candidate for an implementation in the standard image processing pipeline in clinical routine. (C) 2015 International Society for Magnetic Resonance in Medicine