ArticleSensors (Basel, Switzerland)2026
Group-Aware Registration for Lesion-Level Quantitative Motion Correction in Respiratory-Gated PET/CT Biomedical Imaging.
Hui Zhou, Longxi He, Yangsheng Hu, Zhouyuan Qin, Feng Wang, Jianfeng He
Abstract read
In one paragraphArticle in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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2 · The registryThe trial behind it
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5 · Who and what moneyAuthors and funding
6 authors.
Hui ZhouFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Longxi HeFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Yangsheng HuFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.ORCID 0009-0005-8434-1623 Zhouyuan QinFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Feng WangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Key Laboratory of Research, Investigation and Evaluation of Radiopharmaceuticals, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Jianfeng HeFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Funding
National Natural Science Foundation of China 82160347Peking University Cancer Hospital Scientific Research Fund JC202506Social Development Special Project of the Yunnan Provincial Science and Technology Department 202403AC100018Special Basic Cooperative Research Programs of Yunnan Provincial Undergraduate Universities' Association 202401BA070001-149Yunnan Fuwai Cardiovascular Hospital Institutional-Level Strategic Research Project 2025YFKT-ZL-08
6 · The paper itselfAbstract
Respiratory-gated PET/CT generates phase-resolved biomedical imaging data, but respiratory motion can cause spatial mismatch and lesion-level quantitative instability, especially for small thoracoabdominal lesions. This study proposes SCAR-Net, a Similarity-Constrained Adaptive Respiratory Registration Network, for retrospective phase-to-reference correction of respiratory-gated
Indexed as
Image Processing, Computer-AssistedPositron Emission Tomography Computed TomographyRespiratory-Gated Imaging TechniquesAlgorithmsFluorodeoxyglucose F18HumansMotionRespirationRetrospective StudiesFluorodeoxyglucose F18deformable image registrationlesion spatial correspondencequantitative PET imagingrespiratory-gated PET/CTrespiratory motion correctionstandardized uptake value
Identifiers
PMID42515437
PMCPMC13419152
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