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Protocol for Brain Magnetic Resonance Imaging and Extraction of Imaging-Derived Phenotypes from the China Phenobank Project.
Wang, Chengyan; Shi, Zhang; Li, Yan; Xia, Xueqin; Kuang, Xutong; Qian, Shufang; Xue, Le; Lan, Lizhen; Wu, Yudan; Zhang, Na; Tao, Ji; Hu, Xumei; Cao, Wenzhao; He, Naying; Guo, Yike; Chen, Weibo; Zhang, Jun; Luo, Jingchun; Wang, He; Tian, Mei.
Afiliación
  • Wang C; Human Phenome Institute, Fudan University, 825 Zhangheng Road, Pudong New District, Shanghai, 201203 China.
  • Shi Z; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032 China.
  • Li Y; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025 China.
  • Xia X; Human Phenome Institute, Fudan University, 825 Zhangheng Road, Pudong New District, Shanghai, 201203 China.
  • Kuang X; Human Phenome Institute, Fudan University, 825 Zhangheng Road, Pudong New District, Shanghai, 201203 China.
  • Qian S; Department of Nuclear Medicine and Medical PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310003 China.
  • Xue L; Department of Nuclear Medicine and Medical PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310003 China.
  • Lan L; Human Phenome Institute, Fudan University, 825 Zhangheng Road, Pudong New District, Shanghai, 201203 China.
  • Wu Y; Human Phenome Institute, Fudan University, 825 Zhangheng Road, Pudong New District, Shanghai, 201203 China.
  • Zhang N; Human Phenome Institute, Fudan University, 825 Zhangheng Road, Pudong New District, Shanghai, 201203 China.
  • Tao J; Human Phenome Institute, Fudan University, 825 Zhangheng Road, Pudong New District, Shanghai, 201203 China.
  • Hu X; Human Phenome Institute, Fudan University, 825 Zhangheng Road, Pudong New District, Shanghai, 201203 China.
  • Cao W; Human Phenome Institute, Fudan University, 825 Zhangheng Road, Pudong New District, Shanghai, 201203 China.
  • He N; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025 China.
  • Guo Y; Department of Computer Science, Hong Kong Baptist University, Hong Kong Special Administrative Region, 999077 China.
  • Chen W; Data Science Institute, Imperial College London, London, SW72AZ UK.
  • Zhang J; Philips Healthcare, Co., Shanghai, 200070 China.
  • Luo J; Department of Radiology, Huashan Hospital, National Center for Neurological Disorders, Fudan University, Shanghai, 200040 China.
  • Wang H; Human Phenome Institute, Fudan University, 825 Zhangheng Road, Pudong New District, Shanghai, 201203 China.
  • Tian M; Human Phenome Institute, Fudan University, 825 Zhangheng Road, Pudong New District, Shanghai, 201203 China.
Phenomics ; 3(6): 642-656, 2023 Dec.
Article en En | MEDLINE | ID: mdl-38223689
ABSTRACT
Imaging-derived phenotypes (IDPs) have been increasingly used in population-based cohort studies in recent years. As widely reported, magnetic resonance imaging (MRI) is an important imaging modality for assessing the anatomical structure and function of the brain with high resolution and excellent soft-tissue contrast. The purpose of this article was to describe the imaging protocol of the brain MRI in the China Phenobank Project (CHPP). Each participant underwent a 30-min brain MRI scan as part of a 2-h whole-body imaging protocol in CHPP. The brain imaging sequences included T1-magnetization that prepared rapid gradient echo, T2 fluid-attenuated inversion-recovery, magnetic resonance angiography, diffusion MRI, and resting-state functional MRI. The detailed descriptions of image acquisition, interpretation, and post-processing were provided in this article. The measured IDPs included volumes of brain subregions, cerebral vessel geometrical parameters, microstructural tracts, and function connectivity metrics.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies Idioma: En Revista: Phenomics Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies Idioma: En Revista: Phenomics Año: 2023 Tipo del documento: Article