An Adaptive Backpropagation Algorithm for Limited-Angle CT Image Reconstruction

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Author(s)

Abstract

Presented in this paper is a neural back propagation algorithm for reconstructing two-dimensional CT images from a small number of projection data. The paper extends the work in [1], in which a backpropagation algorithm is applied to the CT image reconstruction problem. The delta rule of the ordinary backpropagation algorithm is modified using a 'secondary' teaching signal and the 'Resilient backpropagation' scheme. Results obtained are presented along with those of two well known conventional methods:MART and EMML method. A quantitative evaluation reveals the effectiveness of the proposed algorithm.

Journal

  • IEICE transactions on fundamentals of electronics, communications and computer sciences

    IEICE transactions on fundamentals of electronics, communications and computer sciences 83(6), 1049-1058, 2000-06-25

    The Institute of Electronics, Information and Communication Engineers

References:  14

Codes

  • NII Article ID (NAID)
    110003208624
  • NII NACSIS-CAT ID (NCID)
    AA10826239
  • Text Lang
    ENG
  • Article Type
    ART
  • ISSN
    09168508
  • Data Source
    CJP  NII-ELS 
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