ArticleBiomedical engineering online2020
Inter-site harmonization based on dual generative adversarial networks for diffusion tensor imaging: application to neonatal white matter development.
Article in Biomedical engineering online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Harmonization in magnetic resonance imaging: A survey of acquisition, image-level, and feature-level methods.Medical image analysis · 2026Review
- Evaluating Transferability of ComBat Harmonization of Diffusion Tensor Magnetic Resonance Imaging Data.Annals of biomedical engineering · 2026Article
- Diffusion MRI sampling schemes bias diffusion metrics and tractography.Frontiers in neuroimaging · 2026Article
- Site effects in multisite fetal brain MRI: morphological insights into early brain development.European radiology · 2025Article
- Enhancing Interoperability and Harmonisation of Nuclear Medicine Image Data and Associated Clinical Data.Nuklearmedizin. Nuclear medicine · 2023Review
- MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data.Medical image analysis · 2023Article
- Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization.NeuroImage · 2023Review
- Application of data harmonization and tract-based spatial statistics reveals white matter structural abnormalities in pediatric patients with focal cortical dysplasia.Epilepsy & behavior : E&B · 2023Article
- Machine Learning for Brain MRI Data Harmonisation: A Systematic Review.Bioengineering (Basel, Switzerland) · 2023Review
- Harmonization Strategies in Multicenter MRI-Based Radiomics.Journal of imaging · 2022Review
- Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.An international journal on information fusion · 2022Article
- Mitigating site effects in covariance for machine learning in neuroimaging data.Human brain mapping · 2022Article
- A Guide to ComBat Harmonization of Imaging Biomarkers in Multicenter Studies.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022Article
- Manifold-aware synthesis of high-resolution diffusion from structural imaging.Frontiers in neuroimaging · 2022Article
- Article
- Multi-scanner Harmonization of Paired Neuroimaging Data via Structure Preserving Embedding Learning.... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision · 2021Article
- Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods.Journal of personalized medicine · 2021Review
- How can we combat multicenter variability in MR radiomics? Validation of a correction procedure.European radiology · 2021Article
- Building the Precision Medicine for Mental Disorders via Radiomics/Machine Learning and Neuroimaging.Frontiers in neuroscience · 2021Article
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Authors and funding
10 authors.
Funding
Abstract
backgroundSite-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.
resultsDTI-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-site differences can be removed by the proposed dual GANs method, the voxel-wise scaling, and the ComBat. Among these methods, the proposed method holds the lowest median values in absolute errors and root mean square errors. During the pooling analysis of two sites, Pearson correlation coefficients between FA and the postmenstrual age after harmonization are larger than those before harmonization. The effect sizes (Cohen's d between males and females) are also maintained by the harmonization procedure.
conclusionsThe proposed dual GANs-based harmonization method is effective to harmonize neonatal DTI-derived metrics from different sites. Results in this study further suggest that the GANs-based harmonization is a feasible pre-processing method for pooling analyses in multi-center studies.
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