High-field mr diffusion-weighted image denoising using a joint denoising convolutional neural network.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Dec 1, 2019

Abstract

BACKGROUND: Low signal-to-noise ratio (SNR) has been a major limiting factor for the application of higher-resolution diffusion-weighted imaging (DWI). Most of the conventional denoising models suffer from the drawbacks of shallow feature extraction and hand-crafted parameter tuning. Although multiple studies have shown the promising applications of image denoising using convolutional neural networks (CNNs), none of them have considered denoising multiple b-value DWIs using a multichannel CNN model.

Authors

  • He Wang
    Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, China International Neuroscience Institute, Beijing, China.
  • Rencheng Zheng
    Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
  • Fei Dai
    Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
  • Qianfeng Wang
    Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
  • ChengYan Wang

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