基于双波长减影算法的X射线发光成像研究

摘要

目的:探讨双波长减影算法对X射线发光成像(XLI)中存在的环境噪声、X射线噪声以及非目标荧光信号等背景噪声的去除效果.方法:开发基于双波长减影算法的XLI图像处理方法,并通过数值仿真以及仿体实验来对所提方法进行验证.使用硬阈值算法和改进型中值滤波算法对原始图像进行预处理,然后使用双波长减影算法处理,并对处理结果进行评估.结果:在数值仿真中XLI图像的目标背景比(TBR)提高约38倍,在仿体实验中TBR提高约4倍.数值仿真以及仿体实验表明,所提方法处理图像之后可以提升XLI图像的TBR,改善图像质量.结论:基于双波长减影算法的图像处理方法可以有效去除XLI图像中的背景噪声干扰,提取目标荧光信号.%Objective:To discuss the removal effectiveness of dual wavelength subtraction algorithm for background noises, including environmental noises, X-ray noises and non-target luminescence signals and so on, which existed in X-ray luminescence imaging(XLI). Methods: The XLI processing method based on dual-wavelength subtraction algorithm was developed, and it was verified through numerical simulation and phantom experiment. The original image was preprocessed through using a hard threshold algorithm and improved median filter algorithm, and then the dual-wavelength subtraction algorithm was further used to conduct image. Finally, the performance of the proposed results were verified and assessed.Results: The target-to-background ratio(TBR) of XLI was enhanced to approximately 38 times in numerical simulation and it was enhanced to approximately 4 times in phantom experiment. The experiments showed that this method could increased TBR of XLT imaging and the imaging quality were improved.Conclusion: The proposed image processing method which based on dual wavelength subtraction algorithm can efficiently remove the interference of background noises and effectively extract the luminescence signals of target.