Monte Carlo Simulation of Cone-Beam X-Ray Computer Tomography Projection

闫浩; 牟轩沁; 罗涛; 汤少杰

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Monte Carlo Simulation of Cone-Beam X-Ray Computer Tomography Projection

更新时间：2025-12-08

- Monte Carlo Simulation of Cone-Beam X-Ray Computer Tomography Projection
- Vol. 42, Issue 4, Pages: 414-417+422(2008)
- 作者机构：
  
  西安交通大学图像处理与模式识别研究所,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： R811.1;TP391.4
- Online First：10 April 2008，
  
  Published：2008
- 稿件说明：
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闫浩, 牟轩沁, 罗涛, et al. Monte Carlo Simulation of Cone-Beam X-Ray Computer Tomography Projection[J]. 2008, 42(4): 414-417+422.
DOI：

闫浩, 牟轩沁, 罗涛, et al. Monte Carlo Simulation of Cone-Beam X-Ray Computer Tomography Projection[J]. 2008, 42(4): 414-417+422. DOI：

摘要

提出了一种锥束X射线CT(计算机断层扫描)投影的蒙特卡罗计算方法

对X光子逐次抽样并以随机步长跟踪

将探测器区域内的沉积能量转化为投影信号

使用蒙特卡罗计算工具EGSnrc执行后台批处理计算

得到符合成像物理学的仿真投影.经过合理加速和参数优化

计算量较通用默认设置降低了2个数量级.对生成的锥束投影进行重建

结果显示出预期的射束硬化和散射伪影.该方法易于进行二次开发

贴近真实设备

是锥束X射线CT原型机散射校正的基础.将仿真投影与真实的物理设备测量数据进行比较

平均误差为1.18%.

Abstract

A Monte Carlo simulation method of cone-beam X-ray computer tomography(X-CT)projection is presented. X-ray photons are sampled in series and traced with random discrete steps. Projection signals are obtained from deposited energy in the detector zone. Simulations in accordance with imaging physics are generated by adopting the Monte Carlo toolkit EGSnrc

which is batch-programmed for background calculation. In contrast with the commonly used default settings

acceleration investigation and parameters optimization lead to a decreasing in simulation time around 100 times. As expected

beam-hardening and scattering artifacts are revealed in the images reconstructed from the simulated projection. The method is convenient for further developing and can be the basis of researches in the scatter correction upon cone-beam X-CT prototype. Compared with the data measured from real machines

this method is validated with 1.18% error.

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references

汤少杰,牟轩沁,闫浩. 基于医学X射线成像物理模型的模体投影仿真计算[J]. 西安交通大学学报, 2006, 40(8): 901-905.

TANG Shaojie, MOU Xuanqin, YAN Hao, Simulation calculation of phantom projections based on physics model of medical X-ray imaging [J].Journal of Xi'an Jiaotong University, 2006, 40(8): 901-905.

TANG Shaojie, YU Hengyong, YAN Hao, et al. X-ray projection simulation based on physical imaging model [J]. Journal of X-Ray Science and Technology,2006, 14(3): 177-189.

BOONE J M. COOPER V N. Scatter/primary in mammography:Monte Carlo validation [J]. Med Phys, 2000,27(8): 1818-1831.

COLIJN A P, ZBIJEWSKI W, SASOV A, et al. Experimental validation of a rapid Monte Carlo based micro-CT simulator [J]. Phys Med Biol, 2004,49(18): 4321-4333.

MOHAMMAD R A, ZAIDI H. Development and validation of MCNP4C-based Monte Carlo simulator for fan-and cone-beam X-ray CT [J].Phys Med Biol,2005, 50(20): 4863-4885.

许淑燕.蒙特卡罗方法在实验核物理中的应用 [M]. 北京:原子能出版社,1996.

KAWRAKOW I, ROGERS D W O, The EGSnrc code system: Monte Carlo simulation of electron and photon transport, NRCC report PIRS-701 [EB/OL].[2007-02-13].http:∥www.irs.inms.nrc.ca/EGSnrc/pirs701/index.html.

KAWRAKOW I. Bibliography of EGS related papers [EB/OL].[2005-01-12]. http:∥www.irs. inms.nrc.ca/papers/egs.biblio/nodel.html.

FEWELL T R,SHUPING R E, HAWKINS K R,et al. Handbook of computed tomography X-ray spectra [M].Washington D.C., USA:HHS Publication, 1981.

SCHNEIDER W, BORTFELD T, SCHLEGEL W. Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions [J]. Phys Med Biol, 2000, 45(2): 459-478.

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