An artificial intelligence-driven image quality assessment system for whole-body [ 18 F]FDG PET/CT.

Chi QiShuo WangHaojun YuYiqiu ZhangPengcheng HuHui TanYonghong ShiHongcheng Shi

Published in: European journal of nuclear medicine and molecular imaging (2022)

F]FDG PET/CT image quality was developed, showing comparable performance to senior physicians. The system generates a comprehensive and detailed image quality assessment report, including subjective visual scores and objective image metrics for various anatomical regions.

Keyphrases

image quality
artificial intelligence
deep learning
computed tomography
big data
machine learning
primary care
dual energy
magnetic resonance imaging
sleep quality
magnetic resonance