Evaluation of thin-slice abdominal DECT using deep-learning image reconstruction in 74 keV virtual monoenergetic images: an image quality comparison.

Jack Junchi XuLars LönnEsben Budtz-JørgensenSamir JawadPeter S UlriksenKristoffer L Hansen

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

DLIR significantly reduced image noise, increased CNR and SNR and improved image quality in 0.625 mm slice images, when compared to ASIR-V. DLIR may facilitate thinner image slice reconstructions for routine contrast-enhanced abdominal DECT.

Keyphrases

image quality
deep learning
dual energy
computed tomography
contrast enhanced
convolutional neural network
artificial intelligence
magnetic resonance imaging
diffusion weighted
machine learning
magnetic resonance
clinical practice