中文摘要：

对模拟粒子轨迹数较少模拟时间较短的蒙特卡罗粗糙剂量分布进行三维滤波,可以加速其收敛速度.结合蒙特卡罗剂量分布特征,改进三维高斯和Savitzky-Golay滤波器,建立三维混合滤波方法,并比较并联和级联两种基本混合方式.根据卷积性质,提出用等效卷积核简化混合滤波器结构的方法.结果表明,改进后的高斯和Savitzky-Golay滤波器的整体去噪效果得以增强,混合滤波器进一步降低滤波结果的局部误差,两种混合滤波器都能够大幅度抑制MC粗糙剂量分布中的噪声,级联混合滤波器降噪效果略优于并联混合滤波器.

英文摘要：

With three-dimensional （3D） filtering in Monte Carlo rough dose distributions with less particle history and short simulation time convergence is accelerated. We improve 3D Gaussian and Savitzky-Golay filters considering features of Monte Carlo dose distribution. Parallel and cascade mixture methods with 3D Gaussian and Savitzky-Golay filters are compared. A method simplifying mixture filter structure using equivalent convolution kernel is put forward. It shows that the improved Gaussian and Savitzky-Golay filters enhance denoising. The mixture local errors of filtering results. Two types of mixture filters reduce noise in Monte Carlo dose distributions. Filtering of cascade mixture filter is slightly better than that of parallel mixture filter.