ISSN 1004-4140
CN 11-3017/P
Volume 18 Issue 3
Sep.  2009
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WANG Lin-yuan, LI Lei, YAN Bin, JIANG Cheng-shun, WANG Hao-yu, BAO Shang-lian. The Application of Sparse Signal Recovery Theory in CT Image Reconstruction[J]. CT Theory and Applications, 2009, 18(3): 22-29.
Citation: WANG Lin-yuan, LI Lei, YAN Bin, JIANG Cheng-shun, WANG Hao-yu, BAO Shang-lian. The Application of Sparse Signal Recovery Theory in CT Image Reconstruction[J]. CT Theory and Applications, 2009, 18(3): 22-29.
shu

The Application of Sparse Signal Recovery Theory in CT Image Reconstruction

  • 1. Department of Information Research, Institute of Information Engineering, Information Engineering University, Zhengzhou 450002, China;

  • 2. Department of Electronic Science and Technology, Institute of Information Engineering, Information Engineering University, Zhengzhou 450002, China;

  • 3. The Beijing City Key Lab of Medical Physics&Engineering, Peking University, Beijing 100871, China

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  • Received Date: April 13, 2009
  • Available Online: December 14, 2022
    Graphical Abstract
    • Abstract
  • The new image reconstruction algorithm remains one of the hot problems in the current research of computed tomography(CT),among which the reconstruction algorithm with limited views is a difficult problem in practice.Recently,a sparse signal recovery theory was proposed by Terence Tao and his colleagues,which may give a strategy for solving this problem.We introduced this theory and presented some primary simulated results in this paper.The realization of the strategy is significant in some special applications for cone beam CT imaging,which will be a new direction in this field and will greatly influence on this field.
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