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采用混合式 MANTIS (一种用于耦合 X 射线、电子和光传输的 CPU-GPU 蒙特卡罗代码)获得的柱状 CsI X 射线探测器响应的验证。

Validation of columnar CsI x-ray detector responses obtained with hybridMANTIS, a CPU-GPU Monte Carlo code for coupled x-ray, electron, and optical transport.

机构信息

Division of Imaging and Applied Mathematics, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland 20993, USA.

出版信息

Med Phys. 2013 Mar;40(3):031907. doi: 10.1118/1.4791642.

Abstract

PURPOSE

hybridMANTIS is a Monte Carlo package for modeling indirect x-ray imagers using columnar geometry based on a hybrid concept that maximizes the utilization of available CPU and graphics processing unit processors in a workstation.

METHODS

The authors compare hybridMANTIS x-ray response simulations to previously published MANTIS and experimental data for four cesium iodide scintillator screens. These screens have a variety of reflective and absorptive surfaces with different thicknesses. The authors analyze hybridMANTIS results in terms of modulation transfer function and calculate the root mean square difference and Swank factors from simulated and experimental results.

RESULTS

The comparison suggests that hybridMANTIS better matches the experimental data as compared to MANTIS, especially at high spatial frequencies and for the thicker screens. hybridMANTIS simulations are much faster than MANTIS with speed-ups up to 5260.

CONCLUSIONS

hybridMANTIS is a useful tool for improved description and optimization of image acquisition stages in medical imaging systems and for modeling the forward problem in iterative reconstruction algorithms.

摘要

目的

hybridMANTIS 是一个基于混合概念的蒙特卡罗程序包,用于对基于柱状几何形状的间接 X 射线成像仪进行建模,该混合概念最大限度地利用了工作站中可用的 CPU 和图形处理单元处理器。

方法

作者将 hybridMANTIS 的 X 射线响应模拟与先前发表的 MANTIS 和四种碘化铯闪烁体屏的实验数据进行了比较。这些屏幕具有不同厚度的各种反射和吸收表面。作者根据调制传递函数分析了 hybridMANTIS 的结果,并从模拟和实验结果计算了均方根差和斯旺克因子。

结果

与 MANTIS 相比,该比较表明 hybridMANTIS 与实验数据更匹配,尤其是在高空间频率和较厚的屏幕上。与 MANTIS 相比,hybridMANTIS 的模拟速度要快得多,加速比高达 5260。

结论

hybridMANTIS 是一种用于改进医学成像系统中图像采集阶段描述和优化以及迭代重建算法中正向问题建模的有用工具。

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