Spatial resolution of few-view computed tomography using algebraic reconstruction techniques

被引:9
|
作者
Konovalov A.B. [1 ]
Kiselev A.N. [1 ]
Vlasov V.V. [1 ]
机构
[1] Russian Federal Nuclear Center, Institute of Technical Physics, Chelyabinsk oblast
关键词
Spatial Frequency; Point Spread Function; Modulation Transfer Function; Aspect Angle; Diffuse Optical Tomography;
D O I
10.1134/S105466180602012X
中图分类号
学科分类号
摘要
Spatial resolution of computed tomography using two modified algebraic reconstruction algorithms is studied theoretically and experimentally for the case when several projections are recorded. A simple setup with gamma rays recording on a screened photographic film is used for registration of X-ray projections. A standard phantom with periodic spatial structures in the form of cylindrical rods is irradiated, its cross section is reconstructed, and the modulation transfer function is estimated. It is shown that the multiplicative algebraic reconstruction technique optimizing the entropy provides a better resolution (about 1.5 mm for four projections). © Pleiades Publishing, Inc. 2006.
引用
收藏
页码:249 / 255
页数:6
相关论文
共 50 条
  • [41] Noise properties of periodic interpolation methods with implications for few-view tomography
    La Rivière, PJ
    Pan, X
    [J]. IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 1999, 46 (03) : 639 - 645
  • [42] Few-View Projection Reconstruction With an Iterative Reconstruction-Reprojection Algorithm and TV Constraint
    Duan, Xinhui
    Zhang, Li
    Xing, Yuxiang
    Chen, Zhiqiang
    Cheng, Jianping
    [J]. IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2009, 56 (03) : 1377 - 1382
  • [43] FBP Initialized Few-view CT Reconstruction Algorithm Using Similar Prior Image Constraint
    Zhang, Weikang
    Li, Jiansen
    Sun, Jianqi
    Zhao, Jun
    [J]. 2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2016, : 3949 - 3952
  • [44] A preliminary investigation of using prior information for potentially improving image reconstruction in few-view CT
    Cho, Seungryong
    Sidky, Emil Y.
    Bian, Junguo
    Pelizzari, Charles A.
    Pan, Xiaochuan
    [J]. MEDICAL IMAGING 2008: PHYSICS OF MEDICAL IMAGING, PTS 1-3, 2008, 6913
  • [45] Brain electrical tomography using algebraic reconstruction techniques
    Ventouras, E
    Papageorgiou, C
    Rabavilas, A
    Uzunoglu, N
    Stefanis, C
    [J]. BIOTECHNOLOGY & BIOTECHNOLOGICAL EQUIPMENT, 1999, 13 (02) : 113 - 118
  • [46] Few-view tomography using roughness-penalized nonparametric regression and periodic spline interpolation
    La Rivière, PJ
    Pan, X
    [J]. IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 1999, 46 (04) : 1121 - 1128
  • [47] Data Driven Tight Frames Regularization for Few-view Image Reconstruction
    Li, Jie
    Zhang, Wenkun
    Zhang, Hanming
    Li, Lei
    Yan, Bin
    [J]. 2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2017, : 815 - 820
  • [48] INTERPOLATIVE ALGEBRAIC RECONSTRUCTION TECHNIQUES WITHOUT BEAM PARTITIONING FOR COMPUTED-TOMOGRAPHY
    MAZUR, EJ
    GORDON, R
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1995, 33 (01) : 82 - 86
  • [49] Image reconstruction using an adaptive simultaneous algebraic reconstruction technique in computed tomography
    [J]. Huang, Liyu (huangly@mail.xidian.end.cn), 2016, Science Press (43):
  • [50] A few-view reweighted sparsity hunting (FRESH) method for CT image reconstruction
    Chang, Ming
    Li, Liang
    Chen, Zhiqiang
    Xiao, Yongshun
    Zhang, Li
    Wang, Ge
    [J]. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2013, 21 (02) : 161 - 176