Generating synthetic brain PET images of synaptic density based on MR T1 images using deep learning

Generating synthetic brain PET images of synaptic density based on MR T1 images using deep learning

Abstract Purpose Synaptic vesicle glycoprotein 2 A (SV2A) in human brains is an important biomarker of synaptic loss associated with several neurological disorders. However, SV2A tracers, such as [11C]UCB-J, are less available in practice due to constrains such as cost, radiation exposure and onsite...

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Main Authors: Xinyuan Zheng, Patrick Worhunsky, Qiong Liu, Xueqi Guo, Xiongchao Chen, Heng Sun, Jiazhen Zhang, Takuya Toyonaga, Adam P. Mecca, Ryan S. O’Dell, Christopher H. van Dyck, Gustavo A. Angarita, Kelly Cosgrove, Deepak D’Souza, David Matuskey, Irina Esterlis, Richard E. Carson, Rajiv Radhakrishnan, Chi Liu
Format: Article
Language:English
Published: SpringerOpen 2025-03-01
Series:EJNMMI Physics
Subjects:
PET
Neuroimaging
[11C]UCB-J
SV2A
Medical imaging synthesis
Deep learning
Online Access:https://doi.org/10.1186/s40658-025-00744-5
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https://doi.org/10.1186/s40658-025-00744-5

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