ISSN 1004-4140
CN 11-3017/P
Volume 16 Issue 2
Jun.  2007
Turn off MathJax
Article Contents
Abstract
Related Articles
SUN Jie, QU Gang-rong. Studies of the Relaxation Parameter Selection of the Block-iterative Algorithm for Image Reconstruction[J]. CT Theory and Applications, 2007, 16(2): 14-19.
Citation: SUN Jie, QU Gang-rong. Studies of the Relaxation Parameter Selection of the Block-iterative Algorithm for Image Reconstruction[J]. CT Theory and Applications, 2007, 16(2): 14-19.
shu

Studies of the Relaxation Parameter Selection of the Block-iterative Algorithm for Image Reconstruction

  • School of science, Beijing jiaotong university, Beijing 100044, china

More Information
  • Received Date: April 19, 2007
  • Available Online: December 16, 2022
    Graphical Abstract
    • Abstract
  • Landweber's iterative algorithm is an important method in the image reconstruction.In this article we study the relaxation parameter's selection in the Landweber's block-iterative algorithms.We select the special relaxation parameter and put the projection matrix into many blocks according to the projection angles in the reconstruction procedure.We select the product ofλand one ratio the maximal eigenvalues of the multiples of the block-matrixes (specified later) and their conjugate transpose matrixes as the special relaxation parameters.By performing numerical experiment,we conclude that ifλapproach to 1/6-1/7,we will get the best result when we can obtain the complete datum.;Otherwise,that we select the special relaxation parameter and put the projection matrix into many blocks according to the projection angles is available to the limited angle problem.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]CHEN Qian, YU Baodi, QIN Yanwei, WANG Sunyang, SU Xiaohui, JIN Xin, MENG Fanyong. Deep-learning Enhanced CT Reconstruction Algorithm for Multiphase-flow Measurement[J]. CT Theory and Applications, 2025, 34(3): 419-426. DOI: 10.15953/j.ctta.2025.097
    [2]LIU Hua, CHEN Ping, PAN Jin-xiao. Research on CT Imaging Method Along a General Scanning Trajectory[J]. CT Theory and Applications, 2014, 23(5): 743-750.
    [3]CHEN Jian-lin, YAN Bin, LI Lei, XI Xiao-qi, WANG Lin-yuan. Reviews of the Model of Projection Matrix of CT Reconstruction Algorithm[J]. CT Theory and Applications, 2014, 23(2): 317-328.
    [4]HONG Wei, CHU Ying, MOU Xuan-qin. Model-guided Iterative Reconstruction for Limited-angle CT Image[J]. CT Theory and Applications, 2012, 21(4): 597-604.
    [5]LI Yi, PAN Jin-xiao. Base on Date Extraplation Improve ART Iterations Algorithm[J]. CT Theory and Applications, 2011, 20(1): 21-27.
    [6]LI Fei, PAN Jin-xiao. Limited Angle Image Reconstruction Algorithm Based on Multi-objective Optimization[J]. CT Theory and Applications, 2010, 19(1): 1-8.
    [7]WANG Hao, LU Xiao-qiang, SUN Yi. CT Reconstruction Algorithm from Limited-angle Using Modified Regularization Method[J]. CT Theory and Applications, 2008, 17(4): 15-22.
    [8]WANG Li-yan, LUO Shou-hua, WEI Zhi-hui. A New 3D Iterative Reconstruction Algorithm for C-Arm Imaging Systems from Limited-Angle Cone Beam Projections[J]. CT Theory and Applications, 2008, 17(4): 1-7.
    [9]DING Fei, CHEN Zhi-qiang, HUANG Zhi-feng, ZHANG Li. Review on Refraction-Angle Extraction Methods in Diffraction Enhanced Imaging[J]. CT Theory and Applications, 2008, 17(3): 27-35.
    [10]GAO He-wei, ZHANG Li, CHEN Zhi-qiang, CHENG Jian-ping. Reviews of Image Reconstruction from Limited-angle[J]. CT Theory and Applications, 2006, 15(1): 46-50.

  • Cited by

    Periodical cited type(4)

    1. 齐威，袁慎慎，王重阳. CT与磁共振成像诊断儿童中枢神经系统神经母细胞瘤的价值. 中国医学创新. 2023(04): 156-159 .
    2. 尤晓光. CT与MRI对中枢神经系统神经母细胞瘤的诊断价值. 贵州医科大学学报. 2019(07): 844-847 .
    3. 陈波. 脑室肿瘤的磁共振诊断及鉴别诊断分析. 中外医学研究. 2018(14): 65-66 .
    4. 孙学术，李百鑫. 中枢神经细胞瘤CT和磁共振成像(MRI)检查的影像学特征及其诊断准确率. 医疗装备. 2018(11): 24-25 .

    Other cited types(0)

Catalog

    Get Citation
    PDF
    XML
    Article views (1194) PDF downloads (9) Cited by(4)
    Related

    Website Copyright © Editorial Office of Computerized Tomography Theory and Applications

    Address：No.5 Minzudaxue Nanlu,Haidian District,Beijing 100081,P.R.China（100081）

    E-mail：cttacn@cea-igp.ac.cn

    Phone：010-68729234

    京ICP备08002722号-11

    Supported by: Beijing Renhe Information Technology Co. Ltd     Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return