A new limited-angle CT reconstruction algorithm based on the local anisotropic total variation restoration of continuity

被引:4
|
作者
Xiao, Yu [1 ]
Zhong, Wang [1 ]
Li, Yongcun [2 ]
Hu, Xiaofang [1 ]
Xu, Feng [1 ]
机构
[1] Univ Sci & Technol China, Chinese Acad Sci, Key Lab Mech Behav & Design Mat, 96 JinZhai Rd, Hefei 230027, Peoples R China
[2] Taiyuan Univ Technol, Coll Mech, Shanxi Key Lab Mat Strength & Struct Impact, 79 Yingzexi Dajie, Taiyuan 030024, Peoples R China
来源
JOURNAL OF INSTRUMENTATION | 2022年 / 17卷 / 12期
基金
中国国家自然科学基金;
关键词
Computerized Tomography (CT) and Computed Radiography (CR); Image reconstruc-tion in medical imaging; Medical-image reconstruction methods and algorithms; computer-aided diagnosis; IMAGE-RECONSTRUCTION; COMPUTED-TOMOGRAPHY;
D O I
10.1088/1748-0221/17/12/P12018
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
A new limited-angle computed tomography(CT) reconstruction algorithm based on local detail information restoration in the CT image projection domain was proposed in this paper. The lost projection information could be repaired with the new algorithm called local anisotropic total variation repair method of sinogram (LATV). According to the continuity of local gradient in sinogram, local high frequency characteristics can be improved which are blurred by conventional TVM. A series of numerical reconstruction experiments were conducted to validate the new algorithm. The overall quality of images reconstructed by new algorithm was better than conventional TVM algorithm when quantitatively evaluated. Then, a local region with rich details was selected in order to evaluate the reconstruction effect of the internal details. From the perspective of three image quality evaluation parameters, it was shown that the local high frequency details were well repaired. Finally, the reconstruction quality was evaluated by actual CT experimental data. The new method also performed better than conventional method. Therefore, the new LATV algorithm proposed in this paper may be a new method suitable for limited-angle CT reconstruction problems.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Anisotropic Total Variation for Limited-angle CT Reconstruction
    Jin, Xin
    Li, Liang
    Chen, Zhiqiang
    Zhang, Li
    Xing, Yuxiang
    2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 2010, : 2232 - 2238
  • [2] Reweighted Anisotropic Total Variation Minimization for Limited-Angle CT Reconstruction
    Wang, Ting
    Nakamoto, Katsuhiro
    Zhang, Heye
    Liu, Huafeng
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2017, 64 (10) : 2742 - 2760
  • [3] Anisotropic total variation minimization method for limited-angle CT reconstruction
    Jin, Xin
    Li, Liang
    Chen, Zhiqiang
    Zhang, Li
    Xing, Yuxiang
    DEVELOPMENTS IN X-RAY TOMOGRAPHY VIII, 2012, 8506
  • [4] A New Limited-Angle CT Reconstruction Method Based On Total-Variation Minimization
    Zhang, J.
    Ren, L.
    Zhou, S.
    Yin, F.
    MEDICAL PHYSICS, 2008, 35 (06) : 2653 - +
  • [5] 3D Anisotropic Total Variation method for Limited-angle CT Reconstruction
    Yang, Yao
    Li, Liang
    Chen, Zhiqiang
    2013 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), 2013,
  • [6] A limited-angle CT reconstruction method based on anisotropic TV minimization
    Chen, Zhiqiang
    Jin, Xin
    Li, Liang
    Wang, Ge
    PHYSICS IN MEDICINE AND BIOLOGY, 2013, 58 (07): : 2119 - 2141
  • [7] Guided Image Filtering Reconstruction Based on Total Variation and Prior Image for Limited-Angle CT
    Shen, Zhaoqiang
    Gong, Changcheng
    Yu, Wei
    Zeng, Li
    Zeng, Li (drlizeng@cqu.edu.cn), 1600, Institute of Electrical and Electronics Engineers Inc. (08): : 151878 - 151887
  • [8] Guided Image Filtering Reconstruction Based on Total Variation and Prior Image for Limited-Angle CT
    Shen, Zhaoqiang
    Gong, Changcheng
    Yu, Wei
    Zeng, Li
    IEEE ACCESS, 2020, 8 : 151878 - 151887
  • [9] An Image Reconstruction Method Based on Total Variation and Wavelet Tight Frame for Limited-Angle CT
    Luo, Xiaoqiang
    Yu, Wei
    Wang, Chengxiang
    IEEE ACCESS, 2018, 6 : 1461 - 1470
  • [10] Self-Guided Limited-Angle Computed Tomography Reconstruction Based on Anisotropic Relative Total Variation
    Gong, Changcheng
    Zeng, Li
    IEEE ACCESS, 2020, 8 (70465-70476) : 70465 - 70476