基于双波长减影算法的X射线发光成像研究

Research of X-ray luminescence imaging based on dual wavelength subtraction algorithm

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 subtractionalgorithm for background noises, including environmental noises, X-ray noises and nontargetluminescence signals and so on, which existed in X-ray luminescence imaging（XLI）.Methods： The XLI processing method based on dual-wavelength subtraction algorithm wasdeveloped, and it was verified through numerical simulation and phantom experiment. Theoriginal image was preprocessed through using a hard threshold algorithm and improvedmedian 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-backgroundratio（TBR） of XLI was enhanced to approximately 38 times in numerical simulation and it was enhanced toapproximately 4 times in phantom experiment. The experiments showed that this method could increased TBR ofXLT imaging and the imaging quality were improved. Conclusion： The proposed image processing method whichbased on dual wavelength subtraction algorithm can efficiently remove the interference of background noises andeffectively extract the luminescence signals of target.