基于投影域数据恢复的低剂量CT稀疏角度重建  

Sparse-view Reconstruction from Restored Low-dose CT Projections

作　　者：刘文磊[1] 戎军艳[1] 高鹏[1] 廖琪梅[1] 卢虹冰[1] 

机构地区：[1]第四军医大学生物医学工程学院,西安710032

出　　处：《CT理论与应用研究（中英文）》2013年第3期421-428,共8页Computerized Tomography Theory and Applications

基　　金：国家科技支撑计划(2011BAI12B03);国家自然科学基金(81230035)

摘　　要：针对目前CT的X射线电离辐射危害,提出了一种基于低剂量CT投影数据进行稀疏角度重建的方法来降低辐射剂量。本方法首先对低剂量CT的投影数据采用惩罚加权最小二乘(PWLS)方法进行去噪处理,然后对去噪后的投影数据进行稀疏角度的CT图像重建。对Shepp-Logan模体仿真实验及真实实验数据重建结果表明:本文提出的基于低剂量CT的稀疏重建方法可有效地抑制重建图像噪声和条形伪影,实现稀疏角度的低剂量CT图像重建。In view of the X-ray ionizing radiation damage effects reconstruction based on low-dose CT projection data to reduce the weighted least square （PWLS） method for low-dose CT projection from few views of the de-noised projection data. Reconstruction of CT, we propose a method of sparse-view radiation dose. This method uses a penalized denoise, and then reconstructs the CT image results from a simulation experiment with a Shepp-Logan phantom and real experiment data show that： this method can effectively suppress noise and strip artifacts in reconstructed images, as well as reconstruct good quality images from low-dose few-view CT data.

关 键 词：低剂量CT CT重建 噪声抑制 稀疏角度 惩罚加权最小二乘 全变分最小化 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]