Impact of brain segmentation methods on regional metabolism quantification in 18 F-FDG PET/MR analysis.

Yi ShanShao-Zhen YanZhe WangBi-Xiao CuiHong-Wei YangJian-Min YuanYa-Yan YinFeng ShiJie Lu

Published in: EJNMMI research (2023)

Different segmentation methods may have impact on the calculation of brain metabolism in basal ganglia nuclei and specific cerebral cortexes. The AI-based approach offers improved efficiency and is recommended for its enhanced performance.

Keyphrases

deep learning
resting state
convolutional neural network
pet ct
white matter
cerebral ischemia
positron emission tomography
pet imaging
artificial intelligence
functional connectivity
computed tomography
subarachnoid hemorrhage
magnetic resonance
multiple sclerosis
magnetic resonance imaging