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基于蒙卡模拟能谱划分的X射线图像硬化校正方法

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目的:验证基于蒙卡模拟能谱划分的X射线图像硬化校正方法的可行性和有效性。方法:基于蒙卡模拟能谱划分的X射线图像硬化校正方法,通过蒙卡模拟创建多能射线能谱和单能射线能量沉积硬化校正数据库,根据能谱划分步长和特定能谱分布的射线适配硬化校正数据库快速计算多能投影数据,然后将多能投影数据与被检测物体的射线贯穿长度进行多项式拟合,实现X射线图像的硬化校正参数的拟合。结果:该方法硬化校正后的X射线图像的HU值曲线更加平坦,在管电压120 kV时10 keV划分步长条件下,X射线图像均匀性提升29。40%。与传统蒙卡硬化校正方法相比,有效提升硬化校正参数的拟合效率。结论:基于蒙卡模拟能谱划分的X射线图像硬化校正方法是可行有效的。
Beam hardening correction method based on Monte Carlo energy spectrum partitioning for X-ray image
Objective To verify the feasibility and effectiveness of the beam hardening correction method based on Monte Carlo simulation and energy spectrum partitioning for X-ray image.Methods A beam hardening correction method based on Monte Carlo simulation and energy spectrum partitioning for X-ray image was presented.The Monte Carlo simulation results of multi-energy X-ray spectra and single-energy X-ray energy deposition were saved as a hardening correction database.The rapid calculation of the multi-energy projection data was achieved by adapting the hardening correction database based on the step size of energy spectrum partitioning and specific energy spectrum distribution of the rays.Subsequently,a polynomial fitting was performed on the multi-energy projection data and the penetration lengths of the rays through the detected object,thus realizing the fitting of hardening correction parameters for X-ray image.Results The HU value curve of the X-ray image after beam hardening correction by the proposed method was flatter.Under the condition of a tube voltage of 120 kV and a step size of 10 keV,the uniformity of the X-ray image was improved by 29.40%.Compared with the traditional Monte Carlo beam hardening correction method,the proposed method effectively improved the efficiency of the beam hardening correction parameter fitting.Conclusion The proposed beam hardening correction method based on Monte Carlo simulation and energy spectrum partitioning for X-ray image is feasible and effective.

hardening artifactpolynomial fittingMonte Carlo simulationspectrum partitioninghardening correction database

杨柳、宋勇、李廷、俞盛朋

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安徽大学物质科学与信息技术研究院,安徽合肥 230601

中国科学院合肥物质科学研究院,安徽合肥 230031

中子科学国际研究院,山东青岛 266199

中科超精(南京)科技有限公司,江苏南京 210044

中科超精(安徽)先进技术研究院有限公司,安徽合肥 230088

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硬化伪影 多项式拟合 蒙卡模拟 能谱划分 硬化校正数据库

2024

中国医学物理学杂志
南方医科大学,中国医学物理学会

中国医学物理学杂志

CSTPCD
影响因子:0.483
ISSN:1005-202X
年,卷(期):2024.41(9)