ISSN 1004-4140
CN 11-3017/P
Volume 19 Issue 4
Dec.  2010
Turn off MathJax
Article Contents
Abstract
Related Articles
SHI Ben-yi, WANG Cheng, CHEN Si-hai, BI Kun. A Novel Method of CT Reconstruction Filter Function Design[J]. CT Theory and Applications, 2010, 19(4): 35-43.
Citation: SHI Ben-yi, WANG Cheng, CHEN Si-hai, BI Kun. A Novel Method of CT Reconstruction Filter Function Design[J]. CT Theory and Applications, 2010, 19(4): 35-43.
shu

A Novel Method of CT Reconstruction Filter Function Design

  • 1. College of Optoelectronic Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;

  • 2. Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China

More Information
  • Received Date: August 08, 2010
  • Available Online: December 12, 2022
    Graphical Abstract
    • Abstract
  • The design of filter function is very important in the CT reconstruction.In order to improve the image quality,a new method of filter function design was presented based on the FBP theory.Based on the simulated data of Shepp-Logan and the projection data of conch,the compared result of CT reconstruction using R-L filter function,S-L filter function and a new filter function based on the new design method was given.The reconstruction result of the new design filter function was the best in overall performance.In local areas,the density resolution had increased.So this paper provided a novel method for filter function designing in CT reconstruction.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]WANG Yu, LIU Peng, WANG Ya-nan, QIAO Zhi-wei. A Transformer-Enhanced Iterative Unrolling Network for Sparse-View CT Image Reconstruction[J]. CT Theory and Applications. DOI: 10.15953/j.ctta.2025.044
    [2]ZHU Lei, NIU Yantao, ZHANG Yongxian, LIU Yunfu, LI Zheng, KANG Tianliang, MA Wentao. Applicability of Different Iterative Reconstruction Algorithms in Orbital Computed Tomography[J]. CT Theory and Applications, 2024, 33(4): 487-496. DOI: 10.15953/j.ctta.2024.045
    [3]CAO Juntao, CHEN Qiqi, HU Ming, XU Ting, TU Jianchun, ZHANG Huan. A Preliminary Analysis of Using the Sinogram-affirmed Iterative Reconstruction Strength Levels based on the Original Data of Low-dose Chest CT to Evaluate Different Types of Small Pulmonary Nodules[J]. CT Theory and Applications, 2021, 30(6): 735-742. DOI: 10.15953/j.1004-4140.2021.30.06.09
    [4]LIU Yuan-yuan, CHENG Jian-ping, ZHANG Li, ZHENG Peng, CHEN Zhi-qiang. Improvement on Dual Energy CT Reconstruction Algorithm from Incomplete Data Based on Image Segmentation[J]. CT Theory and Applications, 2013, 22(4): 579-586.
    [5]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.
    [6]LIU Miao-ling, LIU Chang, QIU Jun. A New Reconstruction Iterative Algorithm on Fan Beam CT[J]. CT Theory and Applications, 2012, 21(2): 179-185.
    [7]QUE Jie-min, WANG Yan-fang, SUN Cui-li, WEI Cun-feng, SHI Rong-jian, WEI Long. Comparison of Four Iterative Algorithm Based on Incomplete Projection Reconstruction[J]. CT Theory and Applications, 2012, 21(2): 169-178.
    [8]LI Yi, PAN Jin-xiao. Base on Date Extraplation Improve ART Iterations Algorithm[J]. CT Theory and Applications, 2011, 20(1): 21-27.
    [9]LI Hong-yan, TONG Li-li. Restricted Landweber Iteration Algorithm for Image Reconstruction from Projection[J]. CT Theory and Applications, 2009, 18(3): 10-14.
    [10]QIU Jun, WANG Liang. Symmetric Mesh-Iterative Algorithms for Image Reconstruction[J]. CT Theory and Applications, 2007, 16(2): 20-30.

Catalog

    Get Citation
    PDF
    XML
    Article views (665) PDF downloads (10) Cited by()
    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

    E-mail
    RSS

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

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return