直线轨迹扫描断层成像中的图像重建与恢复方法

基于直线轨迹扫描的X射线断层成像方式,具有成像速度快、无物体重叠问题且造价较低等优点,在快速行李物品安检、大物体检查等领域具有较大应用潜力。不完备数据(有限角度)的图像重建及恢复是该成像方式的关键难题。本文介绍了一种适用于直线轨迹扫描断层成像的图像重建及恢复方法:在直接解析重建的基础上,利用linogram技术和总变分(Total Variation)正则化准则,实现快速稳定的外插迭代以补偿缺失数据,从而在保持图像边缘的同时,提高了图像像素值准确性,减小了图像伪影。

Image Reconstruction and Restoration for Straight-line Trajectory Tomographic Imaging

X-ray tomographic imaging with a straight-line trajectory scan,which has advantages of high speed,no overlapping and relatively low cost,has a great future in potential applications for fast security inspection and large-object scanning.For such a straight-line trajectory tomographic imaging(SLTTI),image reconstruction from insufficient data(limited angle) is the key problem.To deal with such a problem,this paper presents an applicable reconstruction and restoration method: based on direct analytical tomographic reconstruction,we proposed a fast and robust extrapolation approach that is implemented via the linogram technique with total variation(TV) regularization.With the capability of image edge preserving and oscillation restraining,our method can remarkably improve the accuracy of reconstruction and distinctly reduce artifacts as well.