3D robust anisotropic diffusion filtering algorithm for sparse view neutron computed tomography 3D image reconstruction

作     者：Yang Liu Teng-Fei Zhu Zhi Luo Xiao-Ping Ouyang Yang Liu;Teng-Fei Zhu;Zhi Luo;Xiao-Ping Ouyang

作者机构：School of Nuclear Science and EngineeringNorth China Electric Power UniversityBeijing 102206China State Key Laboratory of Nuclear Resources and EnvironmentEast China University of TechnologyNanchang 330013China State Key Laboratory of Intense Pulsed Radiation Simulation and EffectXi’an 710024China 

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

年 卷 期：2024年第35卷第3期

页      面：13-29页

核心收录：

学科分类：080902[工学-电路与系统] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080203[工学-机械设计及理论] 0827[工学-核科学与技术] 0802[工学-机械工程] 0702[理学-物理学] 

基　　金：supported by the National Key Research and Development Program of China (No. 2022YFB1902700) the National Natural Science Foundation of China (No. 11875129) the Fund of the State Key Laboratory of Intense Pulsed Radiation Simulation and Effect (No. SKLIPR1810) Fund of Innovation Center of Radiation Application (No. KFZC2020020402) Fund of the State Key Laboratory of Nuclear Physics and Technology,Peking University (No. NPT2020KFY08) the Joint Innovation Fund of China National Uranium Co.,Ltd.,State Key Laboratory of Nuclear Resources and Environment,East China University of Technology (No. 2022NRE-LH-02) 

主　　题：NCT OS-SART Sparse-view Anisotropic diffusion filtering 

摘      要：The most critical part of a neutron computed tomography(NCT) system is the image processing algorithm,which directly affects the quality and speed of the reconstructed *** types of noise in the system can degrade the quality of the reconstructed ***,to improve the quality of the reconstructed images of NCT systems,efficient image processing algorithms must be *** anisotropic diffusion filtering(ADF) algorithm can not only effectively suppress the noise in the projection data,but also preserve the image edge structure information by reducing the diffusion at the image ***,we propose the application of the ADF algorithm for NCT image *** compare the performance of different algorithms in NCT systems,we reconstructed images using the ordered subset simultaneous algebraic reconstruction technique(OS-SART) algorithm with different regular terms as image processing *** the iterative reconstruction,we selected two image processing algorithms,the Total Variation and split Bregman solved total variation algorithms,for comparison with the performance of the ADF ***,the filtered back-projection algorithm was used for comparison with an iterative *** reconstructing the projection data of the numerical and clock models,we compared and analyzed the effects of each algorithm applied in the NCT *** on the reconstruction results,OS-SART-ADF outperformed the other algorithms in terms of denoising,preserving the edge structure,and suppressing *** example,when the 3D Shepp–Logan was reconstructed at 25 views,the root mean square error of OS-SART-ADF was the smallest among the four iterative algorithms,at only *** universal quality index,mean structural similarity,and correlation coefficient of the reconstructed image were the largest among all algorithms,with values of 0.9877,0.9878,and 0.9887,respectively.