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MRI Gibbs-ringing artifact reduction by means of machine learning using convolutional neural networks.

Qianqian ZhangGuohui RuanWei YangYilong LiuKaixuan ZhaoQianjin FengWufan ChenEd X WuYanqiu Feng
Published in: Magnetic resonance in medicine (2019)
The proposed method presents a novel and effective approach for Gibbs-ringing reduction in MRI. The convolutional neural network-based approach is simple, computationally efficient, and highly applicable in routine clinical MRI.
Keyphrases
  • convolutional neural network
  • deep learning
  • contrast enhanced
  • magnetic resonance imaging
  • machine learning
  • diffusion weighted imaging
  • computed tomography
  • clinical practice