Research on the Digital Mixed Denoising Techniques for Accelerating Monte Carlo Simulations
Research on the Digital Mixed Denoising Techniques for Accelerating Monte Carlo Simulations
复制标题
加速蒙特卡罗模拟的数字混合去噪技术研究
DOI：
10.13182/nt09-a9311
复制
发表时间：
2009
影响因子：
1.5
通讯作者：
Yican Wu
中科院分区：
文献类型：
--
作者：
Guoli Li;Zhu Yang;Hui Lin;Jiabing Huang;J. Jing;A. Wu;Yican Wu
摘要蒙特卡罗方法是一种随机统计算法。它是最准确的剂量计算方法之一，但由于计算时间较长，限制了其在临床上的应用。通常，为了加速蒙特卡罗模拟和降低随机噪声，需要使用数字滤波技术将粗略的剂量分布(包括明显的噪声)平滑到满意的剂量分布。已经应用了不同类型的滤波器，如高斯滤波器、Savitzky-Golay滤波器等，但单个滤波器的能力是有限的。因此，使用了一种结合了这些滤波技术的混合滤波器。研究了具有三维高斯和Savitzky-Golay滤波器的两种混合方法--并行混合方法和级联混合方法。此外，还介绍了一种利用基于卷积理论的等价卷积核来简化混合滤波器结构的方法。利用标准体模的模拟数据，比较了两种混合滤光片与基准滤光片的粗略剂量分布和平滑后的剂量分布。测试结果表明，这两种混合滤光片能有效地抑制蒙特卡罗剂量分布中的噪声，增强剂量分布的可视化。对于研究的测试案例，串级混合滤光器的过滤效果略好于平行混合滤光器。滤镜组合可以提供良好的过滤效果。不同混合方法的过滤效果并不一致。级联混合滤光器比并联混合滤光器具有更好的滤波效果。
Abstract The Monte Carlo method is a stochastic statistic algorithm. It is one of the most accurate dose calculation methods, but its application in clinic is limited because of the long computation time. Generally, to accelerate Monte Carlo simulation and reduce stochastic noise, a digital filtering technique is used to smooth a rough dose distribution (includes evident noise) to a satisfied one. Different types of filters have been applied, such as Gaussian filters, Savitzky-Golay filters, etc., but the ability of a single filtering filter is limited. Therefore, a hybrid filter combining those filtering techniques was used. Two types of mixture methods—parallel and cascade—with three-dimensional Gaussian and Savitzky-Golay filters were researched. In addition, a method that simplifies the mixture filter structure using an equivalent convolution kernel based on convolution theory was introduced. With simulation data from a standard phantom, the rough dose distributions and the dose distribution smoothed by the two types of mixture filters were compared with that of the “benchmark” one. Test results showed that the two types of mixture filters can suppress much of the noise added in Monte Carlo dose distributions and enhance its visualization. As for the research’s test cases, the filtering effect of the cascade mixture filter was slightly better than that of the parallel mixture filter. Filter combinations can provide favorable filtering effects. The filtering effects of different mixture methods are not uniform. The cascade mixture filter has a better filtering effect than the parallel mixture filter.
影响因子：
3.5
作者：
Joseph O. Deasy
通讯作者：
Joseph O. Deasy
影响因子：
3.8
作者：
Deasy, JO;Wickerhauser, MV;Picard, M
通讯作者：
Picard, M