AI RESEARCH
HARP: HARmonizing in-vivo diffusion MRI using Phantom-only training
arXiv CS.CV
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ArXi:2603.06696v1 Announce Type: new Purpose: Combining multi-site diffusion MRI (dMRI) data is hindered by inter-scanner variability, which confounds subsequent analysis. Previous harmonization methods require large, matched or traveling human subjects from multiple sites, which are impractical to acquire in many situations. This study aims to develop a deep learning-based dMRI harmonization framework that eliminates the reliance on multi-site in-vivo traveling human data for