Impact of a deep progressive reconstruction algorithm on low-dose or fast-scan PET image quality and Deauville score in patients with lymphoma

Impact of a deep progressive reconstruction algorithm on low-dose or fast-scan PET image quality and Deauville score in patients with lymphoma

Abstract Background A deep progressive learning method for PET image reconstruction named deep progressive reconstruction (DPR) method was developed and presented in previous works. It has been shown in previous study that the DPR with one-third duration can maintain the image quality as OSEM with s...

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Bibliographic Details
Main Authors: Wenli Qiao, Taisong Wang, Hongyuan Yi, Xuebing Li, Yang Lv, Chen Xi, Runze Wu, Ying Wang, Ye Yu, Yan Xing, Jinhua Zhao
Format: Article
Language:English
Published: SpringerOpen 2025-04-01
Series:EJNMMI Physics
Subjects:
Deauville score
Lymphoma
PET/CT
Deep progressive reconstruction
Reconstruction algorithm
Online Access:https://doi.org/10.1186/s40658-025-00739-2
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https://doi.org/10.1186/s40658-025-00739-2

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