Deep learning image reconstruction algorithm for carotid dual-energy computed tomography angiography: evaluation of image quality and diagnostic performance.

Chenyu JiangDan JinZhuoheng LiuYan ZhangMing NiHuishu Yuan

Published in: Insights into imaging (2022)

Compared with 80% ASIR-V, we recommend DLIR-H for clinical carotid DECTA reconstruction, which can significantly improve the image quality of carotid DECTA at 50 keV but maintain a desirable diagnostic performance and arterial depiction.

Keyphrases

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