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文章基本信息

  • 标题:A new approach to image reconstruction from projections using a recurrent neural network
  • 本地全文:下载
  • 作者:Robert Cierniak
  • 期刊名称:International Journal of Applied Mathematics and Computer Science
  • 电子版ISSN:2083-8492
  • 出版年度:2008
  • 卷号:18
  • 期号:2
  • DOI:10.2478/v10006-008-0014-y
  • 出版社:De Gruyter Open
  • 摘要:A new neural network approach to image reconstruction from projections considering the parallel geometry of the scanner is presented. To solve this key problem in computed tomography, a special recurrent neural network is proposed. The reconstruction process is performed during the minimization of the energy function in this network. The performed computer simulations show that the neural network reconstruction algorithm designed to work in this way outperforms conventional methods in the obtained image quali
  • 关键词:image reconstruction from projections; neural networks; recurrent net
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