"When Scanner Speak Different Languages: Challenges and Solutions for Harmonizing Medical Images" by Dr. Lianrui Zuo
"AI-Powered Brain MRI Harmonization and Applications" by Dr. Mingxia Liu
"Deep Learning-based Harmonization of Cortical Surface Data" by Dr. Gang Li and Jiale Cheng
"Resources for Deep Learning Method Development and Neuroimage Analysis" by Mengqi Wu and Jiale Cheng
Source: B. Dufumier et al.: OpenBHB - a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing, Submitted to NeuroImage (2022)
# Sites/Scanning Settings: 64
Total Subjects: 5330 healthy control (HC) subjects
Data Split:
Training: 3227 HC
Validation: 757 HC
Modalities
Preprocessed T1-weighted (T1w) structural MRI
Voxel-Based Morphometry (VBM)
Surface-Based Morphometry (SBM)
Data Format: NumPy array (.npy)
Source: Tanaka, Saori C., et al. "A multi-site, multi-disorder resting-state magnetic resonance image database." Scientific data 8.1 (2021): 227.
# Sites/Scanning Settings: 12
Total Subjects: 9 HC traveling subjects
Modalities
T1w structural MRIs
Resting-state functional MRI (rs-fMRI)
Data Format: NIfTI (.nii.gz)
Source: Magnotta, Vincent A., et al. "Multicenter reliability of diffusion tensor imaging." Brain connectivity 2.6 (2012): 345-355.
# Sites/Scanning Settings: 8
Total Subjects: 5 HC traveling subjects
Modalities
T1w structural MRI
T2-weighted (T2w) structural MRI
Diffusion-weighted image (DWI)
Data Format: NIfTI (.nii.gz)
Source: Tong, Qiqi, et al. "Multicenter dataset of multi-shell diffusion MRI in healthy traveling adults with identical settings." Scientific Data 7.1 (2020): 157.
# Sites/Scanning Settings: 10
Total Subjects: 3 HC traveling subjects
Modalities
T1w structural MRI
DWI MRI
Data Format: NIfTI (.nii.gz)
Source: Tax, Chantal MW, et al. "Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms." NeuroImage 195 (2019): 285-299.
# Sites/Scanning Settings: 3 scanners, 5 protocols
Total Subjects: 14 HC traveling subjects
Modalities
T1w structural MRI
DWI MRI
Data Format: NIfTI (.nii.gz)
Please stay tuned—additional resources will be available soon.
Open-source toolbox for neuroimaging harmonization and Analysis
A Docker-based, automated pipeline for T1/T2-weighted infant MRI
Covers brain extraction, tissue segmentation, surface reconstruction, and cortical morphometry
Infant surface parcellation
Thickness prediction
Brain development and disease modeling
Please stay tuned—additional resources will be available soon.
Please stay tuned—additional resources will be available soon.