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Multicenter dataset of multi-shell diffusion MRI in healthy traveling adults with identical settings

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机构: [1]Center for Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry ofEducation, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, Zhejiang,China [2]Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University,Beijing, China [3]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China [4]MR Collaboration NE Asia, Siemens Healthcare, Beijing, China [5]MR Collaboration NE Asia, Siemens Healthcare,Shanghai, China [6]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China [7]Department of Imaging Sciences, University of Rochester, Rochester, NY, USA
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Multicenter diffusion magnetic resonance imaging (MRI) has drawn great attention recently due to the expanding need for large-scale brain imaging studies, whereas the variability in MRI scanners and data acquisition tends to confound reliable individual-based analysis of diffusion measures. In addition, a growing number of multi-shell diffusion models have been shown with the potential to generate various estimates of physio-pathological information, yet their reliability and reproducibility in multicenter studies remain to be assessed. In this article, we describe a multi-shell diffusion dataset collected from three traveling subjects with identical acquisition settings in ten imaging centers. Both the scanner type and imaging protocol for anatomical and diffusion imaging were well controlled. This dataset is expected to replenish individual reproducible studies via multicenter collaboration by providing an open resource for advanced and novel microstructural and tractography modelling and quantification.

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出版当年[2019]版:
大类 | 2 区 综合性期刊
小类 | 2 区 综合性期刊
最新[2023]版:
大类 | 2 区 综合性期刊
小类 | 2 区 综合性期刊
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出版当年[2018]版:
Q1 MULTIDISCIPLINARY SCIENCES
最新[2023]版:
Q1 MULTIDISCIPLINARY SCIENCES

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第一作者机构: [1]Center for Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry ofEducation, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, Zhejiang,China
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