Low tube voltage and deep-learning reconstruction for reducing radiation and contrast medium doses in thin-slice abdominal CT: a prospective clinical trial.
Kenichiro YoshidaYasunori NagayamaYoshinori FunamaSoichiro IshiuchiToshihiko MotoharaToshiro MasudaTakeshi NakauraTakatoshi IshikoToshinori HiraiToru BeppuPublished in: European radiology (2024)
Reducing radiation and iodine doses is desirable; however, contrast and noise degradation can be detrimental. The 80-kVp scan with the deep-learning reconstruction technique provided better images with lower radiation and contrast doses. This technique may be efficient for improving diagnostic confidence and patient safety in thin-slice abdominal CT.
Keyphrases
- deep learning
- dual energy
- image quality
- patient safety
- contrast enhanced
- computed tomography
- magnetic resonance
- clinical trial
- convolutional neural network
- artificial intelligence
- quality improvement
- magnetic resonance imaging
- machine learning
- positron emission tomography
- radiation induced
- air pollution
- phase ii
- optical coherence tomography
- pet ct