ART算法的平均值法改进方案

二维断层成像中,代数重建(ART)算法面临的最大问题就在于计算量大、重建速度慢。针对这个劣势,提出了一种使用平均值法改进的ART算法,希望能更快地重建出质量较好的图像。该算法将每一次迭代过程的所有中间值记录下来,并求出其平均值,将此平均值作为下一次迭代的初始值。经过实验证明这种改进后的ART算法经过更少的迭代次数后就能达到较好的重建质量,且质量比传统算法还要好。

An Improved Scheme with Average Value Method for ART Algorithm

In two-dimensional tomography field,the biggest problem algebraic reconstruction technique (ART) algorithm faces is the large calculating quantity that causes its low reconstruction speed,for which an improved ART algorithm is proposed in this paper.It aims at getting good quality faster.All the transition solutions during each iteration process are recorded and their average value is the initial value of the next iteration.Experiment results indicate that the improved algorithm can get good quality with less iterations and has better quality than traditional algorithm.