Reducing pediatric total-body PET/CT imaging scan time with multimodal artificial intelligence technology.

Qiyang ZhangYingying HuChao ZhouYumo ZhaoNa ZhangYun ZhouYongfeng YangHairong ZhengWei FanDong LiangZhanli Hu

Published in: EJNMMI physics (2024)

Multimodal artificial intelligence techniques can effectively improve the quality of pediatric total-body PET/CT images acquired using ultrashort scan times. This has the potential to decrease the use of sedation, enhance guardian confidence, and reduce the probability of motion artifacts.

Keyphrases

pet ct
artificial intelligence
deep learning
machine learning
big data
computed tomography
positron emission tomography
pain management
high resolution
convolutional neural network
magnetic resonance imaging
intensive care unit
chronic pain
quality improvement
cone beam