Monte-Carlo统计迭代图像重建算法
Monte-Carlo Statistical Iteration Image Reconstruction Algorithm
-
摘要: 线性衰减系数图像重建是层析γ扫描(TGS)的一个核心问题。本文从粒子输运方程出发,应用Monte Carlo方法,提出了一种基于Monte Carlo方法的统计迭代图像重建算法。模拟结果表明,与一般TGS图像重建算法相比,该重建算法的重建图像误差大为减小,能够满足TGS装置的要求。Abstract: Linear attenuation coefficient image reconstruction is an important problem in tomographic gamma scanning(TGS). The MonteCarlo statistical iteration image reconstruction algorithm according to particle transport theory and MonteCarlo method is presented. Simulating results indicate that the image reconstruction errors are reduced greatly by the new reconstruction algorithm comparing with general TGS algorithm. It can meet the requirements of TGS device.