Ultra-low-dose CT reconstructed with the artificial intelligence iterative reconstruction algorithm (AIIR) in 18F-FDG total-body PET/CT examination: a preliminary study

Ultra-low-dose CT reconstructed with the artificial intelligence iterative reconstruction algorithm (AIIR) in 18F-FDG total-body PET/CT examination: a preliminary study

Abstract Purpose To investigate the feasibility of ultra-low-dose CT (ULDCT) reconstructed with the artificial intelligence iterative reconstruction (AIIR) algorithm in total-body PET/CT imaging. Methods The study included both the phantom and clinical parts. An anthropomorphic phantom underwent CT...

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Bibliographic Details
Main Authors: Yan Hu, Zhe Zheng, Haojun Yu, Jingyi Wang, Xinlan Yang, Hongcheng Shi
Format: Article
Language:English
Published: SpringerOpen 2023-01-01
Series:EJNMMI Physics
Subjects:
Ultra-low-dose
Standard-dose
Artificial intelligence iterative reconstruction
PET/CT
Online Access:https://doi.org/10.1186/s40658-022-00521-8

Internet

https://doi.org/10.1186/s40658-022-00521-8

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