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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-05-27

AUTHORS

Qiqi Tong, Hongjian He, Ting Gong, Chen Li, Peipeng Liang, Tianyi Qian, Yi Sun, Qiuping Ding, Kuncheng Li, Jianhui Zhong

ABSTRACT

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. More... »

PAGES

157

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41597-020-0493-8

DOI

http://dx.doi.org/10.1038/s41597-020-0493-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1127899122

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/32461581


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