Deep learning image reconstruction algorithm for pancreatic protocol dual-energy computed tomography: image quality and quantification of iodine concentration.

Yoshifumi NodaNobuyuki KawaiShoma NagataFumihiko NakamuraTakayuki MoriToshiharu MiyoshiRyosuke SuzukiFumiya KitaharaHiroki KatoFuminori HyodoMasayuki Matsuo

Published in: European radiology (2021)

Image quality and conspicuity of pancreatic cancer were the best in DLIR-M. DLIR significantly reduced background noise and improved SNR and CNR. The variability of iodine concentration was reduced in DLIR.

Keyphrases

dual energy
image quality
deep learning
computed tomography
artificial intelligence
convolutional neural network
machine learning
positron emission tomography
randomized controlled trial
contrast enhanced
magnetic resonance imaging
air pollution
magnetic resonance
pet ct