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:DTI-derived metrics (fractional anisotropy, FA; mean diffusivity, MD) are obtained on age-matched neonates without magnetic resonance imaging (MRI) abnormalities: 42 neonates from site 1 and 42 neonates from site 2. Significant inter-site differences of FA can be observed. The proposed harmonization approach and three conventional methods (the global-wise scaling, the voxel-wise scaling, and the ComBat) are performed on DTI-derived metrics from two sites. During the tract-based spatial statistics, inter-s

SUBMITTER: Zhong J 

PROVIDER: S-EPMC6964111 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature