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Analysis and Evaluation of a Deep Learning Reconstruction Approach with Denoising for Orthopedic MRI
Autor:
Sampada Bhave, Andrew S. Nencka, Michael R. Stetz, S. Sivaram Kaushik, Mohammad Sherafati, Graeme C. McKinnon, Rajeev Mannem, Robin Ausman, Douglas Vierck, Kevin M. Koch, V. Emre Arpinar, R. Marc Lebel, Sujan Fernando
Publikováno v:
Radiol Artif Intell
PURPOSE: To evaluate two settings (noise reduction of 50% or 75%) of a deep learning (DL) reconstruction model relative to each other and to conventional MR image reconstructions on clinical orthopedic MRI datasets. MATERIALS AND METHODS: This retros