OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising-Reference-Cited by-同舟云学术

OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising

Published:2023 Issue: Volume: Page:1-1
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Fu Minghan¹^ORCID,Zhang Na¹^ORCID,Huang Zhenxing¹^ORCID,Zhou Chao²,Zhang Xu²,Yuan Jianmin³,He Qiang³^ORCID,Yang Yongfeng¹^ORCID,Zheng Hairong¹^ORCID,Liang Dong¹^ORCID,Wu Fang-Xiang⁴^ORCID,Fan Wei²,Hu Zhanli¹^ORCID

Affiliation:

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

2. Department of Nuclear Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China

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

4. Department of Mechanical Engineering and Department of Computer Science, Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, Canada

Funder

Shenzhen Medical Research Funds of China

Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province

National Natural Science Foundation of China

Shenzhen Excellent Technological Innovation Talent Training Project of China

Guangdong Innovation Platform of Translational Research for Cerebrovascular Diseases of China

Natural Science Foundation of Guangdong Province-Outstanding Youth Project

Shenzhen Science and Technology Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/4359023/10360189.pdf?arnumber=10360189

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