Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network.

Journal: Japanese journal of radiology
PMID: 29982919

Abstract

PURPOSE: To test if the proposed deep learning based denoising method denoising convolutional neural networks (DnCNN) with residual learning and multi-channel strategy can denoise three dimensional MR images with Rician noise robustly.

Authors

  • Dongsheng Jiang
    School of Basic Medical Science, Digital Medical Research Center, Fudan University, Shanghai, People's Republic of China.
  • Weiqiang Dou
    Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Luc Vosters
    Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Xiayu Xu
    The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, People's Republic of China.
  • Yue Sun
    Department of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
  • Tao Tan
    Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.

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