Hybrid reconstruction algorithm for computed tomography based on diagonal total variation

作     者：Lu-Zhen Deng Peng He Shang-Hai Jiang Mian-Yi Chen Biao Wei Peng Feng 

作者机构：Key Laboratory of Optoelectronic Technology and SystemsMinistry of Education Chongqing University Department of Radiation Physics The University of Texas MD Anderson Cancer Center ICT NDT Engineering Research Center Ministry of Education Chongqing University Collaborative Innovation Center for Brain ScienceChongqing University 

出 版 物：《Nuclear Science and Techniques》 (核技术（英文）)

年 卷 期：2018年第29卷第3期

页      面：172-180页

核心收录：

学科分类：08[工学] 0807[工学-动力工程及工程热物理] 0827[工学-核科学与技术] 0703[理学-化学] 0702[理学-物理学] 0801[工学-力学（可授工学、理学学位）] 

基　　金：supported in part by the National Natural Science Foundation of China(No.61401049) the Chongqing Foundation and Frontier Research Project(Nos.cstc2016jcyjA0473,cstc2013jcyjA0763) the Graduate Scientific Research and Innovation Foundation of Chongqing,China(No.CYB16044) the Strategic Industry Key Generic Technology Innovation Project of Chongqing(No.cstc2015zdcy-ztzxX0002) China Scholarship Council the Fundamental Research Funds for the Central Universities Nos.CDJZR14125501,106112016CDJXY120003,10611CDJXZ238826 

主　　题：Computed tomography (CT) Sparse-view reconstruction Diagonal total variation (DTV) Compressive sensing (CS) 

摘      要：Inspired by total variation(TV), this paper represents a new iterative algorithm based on diagonal total variation(DTV) to address the computed tomography image reconstruction problem. To improve the quality of a reconstructed image, we used DTV to sparsely represent images when iterative convergence of the reconstructed algorithm with TV-constraint had no effect during the reconstruction process. To investigate our proposed algorithm, the numerical and experimental studies were performed, and rootmean-square error(RMSE) and structure similarity(SSIM)were used to evaluate the reconstructed image quality. The results demonstrated that the proposed method could effectively reduce noise, suppress artifacts, and reconstruct highquality image from incomplete projection data.