Denoising diffusion weighted imaging data using convolutional neural networks

HIGHLIGHTS

• who: Hu Cheng and collaborators from the Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States of have published the research: Denoising diffusion weighted imaging data using convolutional neural networks, in the Journal: PLOS ONE of February/15,/2022
• what: The authors propose a simple denoising method that can be applied to any dataset provided a lownoise single-subject dataset is acquired using the same DWI sequence. This approach has two advantages over the more common approach of denoising in the image domain. The authors show two possible applications of the method . . .
  

   

  

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