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Neuroharmony

Neuroharmony is a harmonization approach based on image quality metrics (IQMs) rather than explicit site labels.

Because it relies on scanner-related image characteristics instead of site identifiers, it can generalize to previously unseen scanners or sites, partially addressing the closed-set assumption of ComBat.

Paper

Garcia-Dias, R., Scarpazza, C., Baecker, L., et al. (2020). Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners. NeuroImage, 220, 117127. https://doi.org/10.1016/j.neuroimage.2020.117127

Source code

  • https://github.com/garciadias/Neuroharmony

Implementation status

  • To be implemented