Work

Model-based spatiotemporal synthetic data generation framework and deep-learning reconstruction for real-time MRI oxygen extraction fraction mapping

Year: 2025

Type: article

Source: Physics in Medicine and Biology

DOI: 10.1088/1361-6560/ae2380

Authors: Zejun Wu, Qinqin Yang, Nuowei Ge, Jiechao Wang, Liuhong Zhu, Jianjun Zhou, Jianfeng Bao, Jianfa Chen, Lina Xu, Zhong Chen, Jianhui Zhong, Shuhui Cai, Congbo Cai

Institutions: Xiamen University, Jimei University, Fudan University, Zhengzhou University, First Affiliated Hospital of Zhengzhou University, Jiangxi University of Traditional Chinese Medicine, University of Rochester Medicine, University of Rochester

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G4441421493, G7263177086

OpenAlex ID: W4416588158

FWCI: 0.529

Cites: 51

Cited by: 1

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