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Deep Learning-Based Reconstruction Algorithm With Lung Enhancement Filter for Chest CT: Effect on Image Quality and Ground Glass Nodule Sharpness.

Min-Hee HwangShinhyung KangJi Won LeeGeewon Lee
Published in: Korean journal of radiology (2024)
Adding a lung enhancement filter to DLIR (TF + Lu) significantly improved the nodule sharpness compared to DLIR alone (TF). TF + Lu can be an effective reconstruction technique to enhance image quality and GGN evaluation in ultralow-dose chest CT scans.
Keyphrases
  • image quality
  • deep learning
  • computed tomography
  • dual energy
  • machine learning
  • artificial intelligence
  • positron emission tomography
  • magnetic resonance imaging
  • convolutional neural network
  • contrast enhanced