Keywords: White Matter, White Matter, FLAIR, harmonization, white matter hyperintensity
Motivation: Harmonizing neural imaging datasets respectively acquired with 2D and 3D FLAIR MRI.
Goal(s): Converting 2D FLAIRs to high-resolution 3D FLAIRs.
Approach: We employed a ResUNet-based deep learning approach to learn the complex transformation from 2D to 3D FLAIR.
Results: The converted 3D FLAIRs bear a high resemblance to the acquired 3D FLAIR in terms of image similarity measures and white matter hyperintensity segmentation.
Impact: With this proposed approach, we can harmonize the 2D FLAIRs from the ADNI study with the 3D FLAIRs in the UK Biobank study.
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