Non-Invasive Quantification of the Brain [¹⁸F]FDG-PET Using Inferred Blood Input Function Learned From Total-Body Data With Physical Constraint-Reference-Cited by-同舟云学术

Non-Invasive Quantification of the Brain [¹⁸F]FDG-PET Using Inferred Blood Input Function Learned From Total-Body Data With Physical Constraint

Published:2024-07 Issue:7 Volume:43 Page:2563-2573
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Wang Zhenguo¹^ORCID,Wu Yaping²^ORCID,Xia Zeheng¹,Chen Xinyi¹,Li Xiaochen²^ORCID,Bai Yan²,Zhou Yun³,Liang Dong¹^ORCID,Zheng Hairong¹^ORCID,Yang Yongfeng¹^ORCID,Wang Shanshan¹^ORCID,Wang Meiyun²^ORCID,Sun Tao¹^ORCID

Affiliation:

1. Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

2. Henan Provincial People’s Hospital and Zhengzhou People’s Hospital, Zhengzhou University, Zhengzhou, China

3. Central Research Institute, United Imaging Healthcare Group Company Ltd., Shanghai, China

Funder

Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province

Shenzhen Science and Technology Innovation Committee

Guangdong Provincial Department of Science and Technology

Medical Science and Technology Research Project of Henan Province

Henan Provincial Science and Technology Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/42/10579886/10443660.pdf?arnumber=10443660

Reference49 articles.

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3. Differential effects of global and cerebellar normalization on detection and differentiation of dementia in FDG-PET studies

4. Non-invasive kinetic modelling approaches for quantitative analysis of brain PET studies

5. Image-Derived Input Function for Brain PET Studies: Many Challenges and Few Opportunities

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