Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026
· Cape Town, South Africa
405-04-007
ISMRM Abstract
Privacy-Preserving Multi-Site Diffusion MRI Harmonization via Federated Learning
Primary:
Diffusion - DWI/DTI/DKI
Secondary:
Analysis Methods - Data Processing
405-04-007 · From Diffusion Characteristics Toward Clinical Impact
· Tuesday, 12 May, 4:00 PM–5:50 PM · Ballroom West
Keywords:BrainDiffusion MRIHarmonization
Accepted
Wei Zhang 1, Yijie Li1, Xi Zhu1, Chengjin Li1, Lipeng Ning2, Yogesh Rathi2, Lauren J O’Donnell2, Fan Zhang1
1University of Electronic Science and Technology of China, Chengdu, China
2Brigham and Women's Hospital and Harvard Medical School, Boston, United States of America
Presenting Author: Wei Zhang
Synopsis
Motivation:
Goals:
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1. Zhang, F. et al. Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review. Neuroimage 249, 118870 (2022).
2. Zhang, F. et al. An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. Neuroimage 179, 429–447 (2018).
3. Pinto, M. S. et al. Harmonization of brain diffusion MRI: Concepts and methods. Front. Neurosci. 14, 396 (2020).
4. Karimi, D. & Warfield, S. K. Diffusion MRI with machine learning. Imaging Neurosci. (Camb.) 2, (2024).
5. Zhu, A. H., Moyer, D. C., Nir, T. M., Thompson, P. M. & Jahanshad, N. Challenges and Opportunities in dMRI Data Harmonization. in Computational Diffusion MRI 157–172 (Springer International Publishing, Cham, 2019).
6. Moyer, D., Ver Steeg, G., Tax, C. M. W. & Thompson, P. M. Scanner invariant representations for diffusion MRI harmonization. Magn. Reson. Med. 84, 2174–2189 (2020).
7. Cetin Karayumak, S. et al. Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters. Neuroimage 184, 180–200 (2019).
8. Liu, M. et al. Style transfer generative adversarial networks to harmonize multisite MRI to a single reference image to avoid overcorrection. Hum. Brain Mapp. 44, 4875–4892 (2023).
9. McMahan, H. B., Moore, E., Ramage, D., Hampson, S. & Arcas, B. A. y. Communication-efficient learning of deep networks from decentralized data. arXiv [cs.LG] 1273–1282 (20--22 Apr 2017).
10. Guan, H., Yap, P.-T., Bozoki, A. & Liu, M. Federated learning for medical image analysis: A survey. Pattern Recognit. 151, 110424 (2024).
11. Kellner, E., Dhital, B., Kiselev, V. G. & Reisert, M. Gibbs-ringing artifact removal based on local subvoxel-shifts. Magn. Reson. Med. 76, 1574–1581 (2016).
12. Neto, R. Advanced Methods for Diffusion MRI Data Analysis and Their Application to the Healthy Ageing Brain. (Cambridge, United Kingdom, 2018).
13. Fadnavis, S., Batson, J. & Garyfallidis, E. Patch2Self: Denoising diffusion MRI with self-supervised learning. arXiv [cs.LG] (2020).
14. Fadnavis, S., Chowdhury, A. & Batson, J. Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching. in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 27641–27651 (2024).
15. Garyfallidis, E. et al. Dipy, a library for the analysis of diffusion MRI data. Front. Neuroinform. 8, 8 (2014).
16. Choi, Y., Uh, Y., Yoo, J. & Ha, J.-W. StarGAN v2: Diverse Image Synthesis for Multiple Domains. in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (IEEE, 2020). doi:10.1109/cvpr42600.2020.00821. [doi]
17. Ning, L. et al. Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results. Neuroimage 221, 117128 (2020).