Deep-learning CT reconstruction in clinical scans of the abdomen: a systematic review and meta-analysis.

Mostafa A ShehataAbdelrahman M SaadSerageldin KamelNir StanietzkyAlicia M Roman-ColonAjaykumar C MoraniKhaled M ElsayesCorey T Jensen

Published in: Abdominal radiology (New York) (2023)

Deep learning reconstructions significantly improve image quality in CT of the abdomen. Assessment of other dose levels and clinical indications is needed. Careful choice of radiation dose levels is necessary, particularly for small liver lesion assessment.

Keyphrases

image quality
deep learning
computed tomography
dual energy
contrast enhanced
magnetic resonance imaging
machine learning