Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations.

Anushri ParakhJinjin CaoTheodore T PierceMichael A BlakeCristy A SavageAvinash R Kambadakone

Published in: European radiology (2021)

• Deep learning image reconstructions (DLIRs) have a higher contrast-to-noise ratio compared to medium-strength hybrid iterative reconstruction techniques. • DLIR may be advantageous in patients with large body habitus due to a lower image noise. • DLIR can enable further optimization of radiation doses used in abdominal CT.

Keyphrases

image quality
deep learning
computed tomography
dual energy
artificial intelligence
convolutional neural network
machine learning
air pollution
magnetic resonance
magnetic resonance imaging
radiation induced