基于PM模型的改进SIRT图像重建算法

Image reconstruction algorithm for modified SIRT based on PM model

在实际的扫描过程中,投影数据不可避免地受到各种噪声的干扰,影响重建图像的精度,从而给后续的图像处理带来许多困难.为提高图像重建的质量,提出了一种新的图像重建算法.首先,分析PM模型的优缺点,并在此基础上对该模型进行改进,然后利用改进的PM模型来处理SIRT算法迭代后的结果,使得SIRT重建算法与PM模型去噪可以循环交替进行,直至满足一定的停止迭代条件.实验结果表明:该算法所重建的图像质量更优,误差更小,图像的信噪比和峰值信噪比更高,明显地提高了图像重建的效果.

In the actual scanning process,the projection data is inevitably influenced by various noises,thus it affects the precision of reconstructed image,which brings certain troubles for subsequent image processing.In order to improve the quality of the image reconstruction,this paper proposes a new method of image reconstruction.Firstly,we improve the PM model based on the merits and drawbacks of this model,then we use the improved model to deal with the iteration result by SIRT algorithm,and make SIRT algorithm and PM model alternately until satisfying the stop iterative condition.The experimental results show that this method can improve the quality of reconstructed image,decrease the error and improve the value of SNR and PSNR significantly,thus the effect of image reconstruction is improved obviously.