Inter-site harmonization based on dual generative adversarial networks for diffusion tensor imaging: application to neonatal white matter development

Inter-site harmonization based on dual generative adversarial networks for diffusion tensor imaging: application to neonatal white matter development

Abstract Background Site-specific variations are challenges for pooling analyses in multi-center studies. This work aims to propose an inter-site harmonization method based on dual generative adversarial networks (GANs) for diffusion tensor imaging (DTI) derived metrics on neonatal brains. Results D...

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Bibliographic Details
Main Authors: Jie Zhong, Ying Wang, Jie Li, Xuetong Xue, Simin Liu, Miaomiao Wang, Xinbo Gao, Quan Wang, Jian Yang, Xianjun Li
Format: Article
Language:English
Published: BMC 2020-01-01
Series:BioMedical Engineering OnLine
Subjects:
Harmonization
Diffusion tensor imaging
Neonate
Generative adversarial network
Online Access:https://doi.org/10.1186/s12938-020-0748-9

Internet

https://doi.org/10.1186/s12938-020-0748-9

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