Deep learning image reconstruction generates thinner slice iodine maps with improved image quality to increase diagnostic acceptance and lesion conspicuity: a prospective study on abdominal dual-energy CT.

Jingyu ZhongLingyun WangChao YanYue XingYangfan HuDefang DingXiang GeJianying LiWei LuXiaomeng ShiFei YuanWeiwu YaoHuan Zhang

Published in: BMC medical imaging (2024)

DLIR may facilitate the thinner slice thickness iodine maps in abdominal DECT for improvement of image quality, diagnostic acceptability, and lesion conspicuity.

Keyphrases

image quality
dual energy
deep learning
computed tomography
contrast enhanced
artificial intelligence
convolutional neural network
magnetic resonance imaging
optical coherence tomography
magnetic resonance
pet ct