An inline deep learning based free-breathing ecg-free cine for exercise cardiovascular magnetic resonance

HIGHLIGHTS

• who: Manuel A. Morales from the Department of Medicine (Cardiovascular Division), Beth Israel Deaconess, USA have published the paper: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance, in the Journal: (JOURNAL)
• what: The authors assessed the feasibility of inline realtime cine with DL-based radial acceleration for Ex-CMR. The authors also compared DRAPR- to GRASPbased dealiasing. In the model proposed by Shen et_al for real-time radial cine, these pre-processing steps were done in ~ 0.3 s per frame .
• how: The authors hypothesized that . . .
  

   

  

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