Deep learning model for automatic image quality assessment in PET

Deep learning model for automatic image quality assessment in PET

Abstract Background A variety of external factors might seriously degrade PET image quality and lead to inconsistent results. The aim of this study is to explore a potential PET image quality assessment (QA) method with deep learning (DL). Methods A total of 89 PET images were acquired from Peking U...

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Bibliographic Details
Main Authors: Haiqiong Zhang, Yu Liu, Yanmei Wang, Yanru Ma, Na Niu, Hongli Jing, Li Huo
Format: Article
Language:English
Published: BMC 2023-06-01
Series:BMC Medical Imaging
Subjects:
PET
Image quality
Deep learning
Classification
Online Access:https://doi.org/10.1186/s12880-023-01017-2

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