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Machine Learning for Brain MRI Data Harmonisation: A Systematic Review.

Grace WenVickie ShimSamantha Jane HoldsworthJustin FernandezMiao QiaoNikola Kirilov KasabovAlan Wang
Published in: Bioengineering (Basel, Switzerland) (2023)
Various ML techniques have been employed to harmonise different types of MRI data. There is currently a lack of consistent evaluation methods and metrics used across studies, and it is recommended that the issue be addressed in future studies. Harmonisation of MRI data using ML shows promises in improving performance for ML downstream tasks, while caution should be exercised when using ML-harmonised data for direct interpretation.
Keyphrases
  • electronic health record
  • big data
  • machine learning
  • magnetic resonance imaging
  • contrast enhanced
  • computed tomography
  • magnetic resonance
  • current status
  • deep learning
  • blood brain barrier