基于投影数据非单调性全变分恢复的低剂量CT重建  

Nonmonotone Total Variation Minimization Based Projection Restoration for Low-Dose CT Reconstruction

作　　者：钱姗姗[1] 黄静[1] 马建华[1] 张华[1] 刘楠[1] 张喜乐[1] 冯前进[1] 陈武凡[1] 

机构地区：[1]南方医科大学生物医学工程学院医学信息研究所,广东广州510515

出　　处：《电子学报》2011年第7期1702-1707,共6页Acta Electronica Sinica

基　　金：国家自然科学基金(No.81000613;No.30730036);国家973重点基础研究发展计划基金(No.2010CB732503);广州市科技支撑计划基金(No.2009Z1-E341)

摘　　要：为获取低剂量CT图像的优质重建,本文提出一种基于投影数据非单调性全变分恢复的低剂量CT重建方法.新方法首先通过非线性Anscombe变换将满足Poisson分布的投影数据转化为近似Gaussian分布,其后对变换后的Gaussian型数据进行非单调性全变分最小化算法(Nonmonotone Total Variation Minimization,NTVM)滤波,最后对Anscombe逆变换数据实现传统的滤波反投影(Filtered Back Projection,FBP)CT重建.仿真和临床低剂量CT重建实验表明,本文方法在噪声清除、伪影抑制和缩短重建时间等方面均有上佳表现.In order to improve the reconstruction quality of low-dose CT image,a new approach is proposed based on low-dose CT projection restoration in this paper.First,projection data is transformed from Poisson distribution to Gaussian distribution using nonlinear Anscombe transform.Then,the Anscombe transformed data is filtered by an efficient nonmonotone total variation minimization denoising algorithm.Last,the reconstruction is achieved by inverse Anscombe transform and filtered back projection（FBP） method.Simulated and clinical low-dose CT data experimental results demonstrate that a high-quality CT image can be reconstructed.

关 键 词：低剂量CT 非单调性全变分 Anscombe变换 投影数据恢复 

分 类 号：R391.4[医药卫生—基础医学]