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Analysis and Evaluation of a Deep Learning Reconstruction Approach with Denoising for Orthopedic MRI.

Kevin M KochMohammad SherafatiV Emre ArpinarSampada BhaveRobin AusmanAndrew S NenckaMarc R LebelGraeme McKinnonS Sivaram KaushikDouglas VierckMichael R StetzSujan FernandoRajeev Mannem
Published in: Radiology. Artificial intelligence (2021)
The vendor-provided DL MRI reconstruction showed higher edge sharpness, rSNR, and rCNR in comparison with conventional methods; however, optimal levels of denoising may need to be further assessed.Keywords: MRI Reconstruction Method, Deep Learning, Image Analysis, Signal-to-Noise Ratio, MR-Imaging, Neural Networks, Hip, Shoulder, Physics, Observer Performance, Technology Assessment Supplemental material is available for this article. © RSNA, 2021.
Keyphrases
  • contrast enhanced
  • deep learning
  • convolutional neural network
  • magnetic resonance imaging
  • neural network
  • diffusion weighted imaging
  • magnetic resonance
  • artificial intelligence
  • air pollution
  • clinical evaluation