迭代重建算法的研究进展  

Research Progress of Iterative Reconstruction

作　　者：高宇 

机构地区：[1]GE中国CT产品部

出　　处：《中国医疗设备》2013年第3期23-25,共3页China Medical Devices

摘　　要：在满足临床诊断要求的图像质量同时，减少受检者的辐射剂量，已成为当今影像学的重要研究方向，重建算法的改进就是CT低剂量研究的一个重要方向。常用的CT图像重建算法主要有两类：解析算法（Analytic Reconstruction，AR）和迭代算法（Iterative Reconstruction，IR）。作为解析算法的代表，FBP算法一直都被作为CT图像重建方法的基础和“金标准”，该算法运算速度快，但对成像过程做了很多简化模拟，易受统计波动的影响，图像噪声较大。迭代算法可以弥补FBP算法所固有的问题。近年来，多种迭代算法已经快速发展，并陆续投入了临床应用，其中，自适应统计迭代重建技术（Adaptive Statistical Iterative Reconstruction，ASiR）可以有效地降低图像噪声，改善图像质量，在保证同样图像质量和相似重建速度的前提下，剂量可以降低30％-65％。To reduce the radiation dose and maintain the image quality for diagnosis is a hot topic of current CT research, and improvement of the reconstruction algorithms is an important field of CT low dose research. Common reconstruction algorithms are divided in to two types： analytic reconstruction and iterative reconstruction. Among the representative analytic reconstruction method, FBP algorithras are fast and served as the ＂golden standard＂ of image reconstruction of CT over the past thirty plus years, however, they over simplified of data projection and do have drawbacks, including sensitivity to noise and artifact suppression. Iterative algorithms overcome the overly simplified assumptions of FBP algorithm. In recent years, iterative algorithms have got great improvement; several of them have been used clinically, among which, Adaptive Statistical Iterative Reconstruction （ASiR） can effectively reduce the image noise and improve the image quality. To ensure similar image quality, ASiK can reduce 30- 65% radiation dose than FBP.

关 键 词：CT 辐射剂量 迭代算法 滤波反投影算法 自适应统计迭代重建技术 图像质量 

分 类 号：TH774[机械工程—仪器科学与技术]