School of Science, Beijing Jiaotong University, Beijing, China.
School of Science, Tianjin University of Technology and Education, Tianjin, China.
J Xray Sci Technol. 2018;26(1):51-70. doi: 10.3233/XST-17276.
In practice, mis-calibrated detector pixels give rise to wide and faint ring artifacts in the reconstruction image of the In-line phase-contrast computed tomography (IL-PC-CT). Ring artifacts correction is essential in IL-PC-CT. In this study, a novel method of wide and faint ring artifacts correction was presented based on combining TV-L1 model with guided image filtering (GIF) in the reconstruction image domain. The new correction method includes two main steps namely, the GIF step and the TV-L1 step. To validate the performance of this method, simulation data and real experimental synchrotron data are provided. The results demonstrate that TV-L1 model with GIF step can effectively correct the wide and faint ring artifacts for IL-PC-CT.
在实践中，校准不良的探测器像素会在在线相衬计算机断层扫描（IL-PC-CT）的重建图像中产生宽而淡的环形伪影。环形伪影校正对于 IL-PC-CT 至关重要。在这项研究中，提出了一种新的基于在重建图像域中结合 TV-L1 模型和引导图像滤波（GIF）的宽而淡的环形伪影校正方法。新的校正方法包括两个主要步骤，即 GIF 步骤和 TV-L1 步骤。为了验证该方法的性能，提供了模拟数据和真实的同步辐射实验数据。结果表明，具有 GIF 步骤的 TV-L1 模型可以有效地校正 IL-PC-CT 的宽而淡的环形伪影。
