Zou Yu, Pan Xiaochuan, Sidky Emil Y
University of Chicago, Department of Radiology, 5841 S. Maryland Avenue, Chicago, Illinois 60637, USA.
J Opt Soc Am A Opt Image Sci Vis. 2005 Nov;22(11):2372-84. doi: 10.1364/josaa.22.002372.
We introduce a formula for image reconstruction on a chord of a general source trajectory. We subsequently develop three algorithms for exact image reconstruction on a chord from data acquired with the general trajectory. Interestingly, two of the developed algorithms can accommodate data containing transverse truncations. The widely used helical trajectory and other trajectories discussed in literature can be interpreted as special cases of the general trajectory, and the developed theory and algorithms are thus directly applicable to reconstructing images exactly from data acquired with these trajectories. For instance, chords on a helical trajectory are equivalent to the n-PI-line segments. In this situation, the proposed algorithms become the algorithms that we proposed previously for image reconstruction on PI-line segments. We have performed preliminary numerical studies, which include the study on image reconstruction on chords of two-circle trajectory, which is nonsmooth, and on n-PI lines of a helical trajectory, which is smooth. Quantitative results of these studies verify and demonstrate the proposed theory and algorithms.
我们介绍了一种用于一般源轨迹弦上图像重建的公式。随后,我们开发了三种算法,用于根据从一般轨迹采集的数据在弦上进行精确的图像重建。有趣的是,所开发的两种算法可以处理包含横向截断的数据。文献中广泛使用的螺旋轨迹和其他轨迹可以解释为一般轨迹的特殊情况,因此所开发的理论和算法可直接应用于从这些轨迹采集的数据中精确重建图像。例如,螺旋轨迹上的弦等同于n-PI线段。在这种情况下,所提出的算法就变成了我们之前提出的用于PI线段上图像重建的算法。我们进行了初步的数值研究,其中包括对非光滑的双圆轨迹弦上的图像重建以及对光滑的螺旋轨迹n-PI线上的图像重建的研究。这些研究的定量结果验证并证明了所提出的理论和算法。