机构：[1]Human Phenome Institute, Fudan University, Shanghai 201203, China[2]Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China[3]Department of Cardiovascular Medicine, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai 200020, China[4]Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China[5]Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China[6]Department of Medical Imaging, Shanghai Medical School, Fudan University, Shanghai 200032, China[7]Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China[8]Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Shanghai 200433, China[9]Medical Imaging Center, Calmette Hospital &, The First Hospital of Kunming, Kunming 650051, China[10]Department of Hepatology, NAFLD Research Center, The First Afliated Hospital of Wenzhou Medical University, Wenzhou 325015, China[11]Philips Healthcare. Co., Shanghai 200070, China[12]MR Collaboration, Siemens Healthineers Ltd., Shanghai 201318, China[13]Medical Imaging Department, First Afliated Hospital of Kunming Medical University, Kunming 650032, China医技科室医学影像中心昆明医科大学附属第一医院[14]School of Data Science, Fudan University, Shanghai 200433, China[15]Department of Radiology, Center of Portal Hypertension, Zhongda Hospital, Medical School, Southeast University, Nanjing 210044, China[16]Department of Brain Sciences, Imperial College London, London SW72AZ, UK[17]Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China[18]Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai 200433, China
Currently, standard protocols for body imaging and corresponding image processing pipelines in population-based cohort studies are unavailable, limiting the applications of body imaging. Based on the China Phenobank Project (CHPP), the present study described a body imaging protocol for multiple organs, including cardiac structures, liver, spleen, pancreas, kidneys, lung, prostate, and uterus, and the corresponding image processing pipelines promoted its development. Briefly, the body imaging protocol comprised a 40-min cardiac magnetic resonance imaging (MRI) scan, a 5-min computed tomography (CT) scan, a 20-min abdominal MRI scan, and a 10-min pelvic MRI scan. The recommended image processing pipeline utilized deep learning segmentation models to facilitate the analysis of large amount of data. This study aimed to provide a reference for planning studies based on the CHPP platform.
基金：
Shanghai Municipal Science and Technology Major Project (No. 2017SHZDZX01).
第一作者机构：[1]Human Phenome Institute, Fudan University, Shanghai 201203, China
通讯作者：
推荐引用方式(GB/T 7714)：
Wang Chengyan,Wang Shuo,Hua Sha,et al.A Protocol for Body MRI/CT and Extraction of Imaging-Derived Phenotypes (IDPs) from the China Phenobank Project[J].PHENOMICS.2024,doi:10.1007/s43657-023-00141-x.
APA：
Wang, Chengyan,Wang, Shuo,Hua, Sha,Li, Ruokun,Li, Yan...&Tian, Mei.(2024).A Protocol for Body MRI/CT and Extraction of Imaging-Derived Phenotypes (IDPs) from the China Phenobank Project.PHENOMICS,,
MLA：
Wang, Chengyan,et al."A Protocol for Body MRI/CT and Extraction of Imaging-Derived Phenotypes (IDPs) from the China Phenobank Project".PHENOMICS .(2024)
