基于缺陷投影的稀疏角度数据CT图像迭代重建仿真研究

摘要

Objective To reconstruct sparse views CT image based on defective projection data.Methods The position of bad bins in detector determined whether the linear interpolation was applied to the defective projection data.Moreover,reconstruction of air pixels in CT image was achieved rapidly and accurately.Results he experimental results showed that the proposed method could solve the problem from classical ART-TV method that the robustness was unstable due to the different positions of bad bin in CT detector.Conclusion Compared to analytical reconstruction methods,iterative methods can solve the reconstruction problems in this modality so that the radiologist is facilitated to perform image processing and quantitative analysis.%目的:提出一种基于缺陷投影的稀疏角度数据源CT图像迭代重建方法.方法:考虑CT系统中探测器存在缺陷探测元的情况,结合经典迭代重建算法,根据缺陷探测元损坏的位置,确定是否做插值处理并参与迭代计算,同时考虑投影数据中空气路径数据特点,对待重建CT图像中的空气区域进行快速重建.结果:改进算法可以有效解决探测器中缺陷探测元的位置不同造成经典重建算法鲁棒性不强的问题,实现图像优质重建,提高重建效率.结论:该算法可较有效解决稀疏角度投影数据采集模式下的CT图像优质重建问题,有利于影像医生后续图像处理和量化分析.