ニューラルネットワークによるCT像再構成法  [in Japanese] CT Image Reconstruction by Neural Network  [in Japanese]

Access this Article

Search this Article

Author(s)

Abstract

This paper presents a new method for two-dimensional image reconstruction by using a multilayer neural network. Though a conventionally used object function of such a neural network is composed of a sum of squared errors of the output data, we define an object function composed of a sum of squared residuals of an integral equation. By employing an appropriate numerical line integral for this integral equation, we can construct a neural network can be used for CT image reconstruction. We applied this method to some model problems and obtained satisfactory results.

Journal

  • Transactions of the Japan Society for Industrial and Applied Mathematics

    Transactions of the Japan Society for Industrial and Applied Mathematics 10(2), 145-161, 2000

    The Japan Society for Industrial and Applied Mathematics

References:  20

Codes

  • NII Article ID (NAID)
    110001883490
  • NII NACSIS-CAT ID (NCID)
    AN10367166
  • Text Lang
    JPN
  • Article Type
    ART
  • ISSN
    09172246
  • NDL Article ID
    5415207
  • NDL Source Classification
    ZM31(科学技術--数学)
  • NDL Call No.
    Z15-727
  • Data Source
    CJP  NDL  NII-ELS  J-STAGE 
Page Top