ART算法高质量重建研究

Research of high quality reconstruction on algebraic reconstruction technique

提高重建质量一直是图像重建重要的研究课题。传统ART算法在重建图像中普遍存在椒盐噪声,通过加入松弛因子,不但加快了算法的收敛速度,而且克服了椒盐噪声。利用计算机仿真实验对松弛因子在不同投影数和不同噪声水平下的重建质量进行了对比分析,结果表明,选择适当的松弛因子,并加入一些先验知识,能够极大地改善重建图像质量。

Improving the reconstruction quality has been important subject for researching in image reconstuction. The reconstructed images usually suffer from salt and pepper noise when reconstructing with conventional ART, by adding a relaxation factor the convergence speed can be accelerated and the problem of salt and pepper noise can be overcome ＆ Computer simulation experiments were made on relaxation factor under different projection numbers and different noise levels, the reconstruction quality was compared and analyzed. The results show that the reconstruction quality can be improved greatly if suitable relaxation factor is selected and priori knowledge is incorporated.