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Quantifying Remyelination Using χ-Separation in White Matter and Cortical Multiple Sclerosis Lesions.

Jannis MüllerPo-Jui LuAlessandro CagolEsther RuberteHyeong-Geol ShinMario Ocampo-PinedaXinjie ChenCharidimos TsagkasMuhamed BarakovicRiccardo GalbuseraMatthias WeigelSabine A SchaedelinYi WangThanh D NguyenPascal SpincemailleLudwig KapposJens KuhleJongho LeeCristina Granziera
Published in: Neurology (2024)
χ-separation, a novel mathematical model applied to multiecho T2*-images and T2-images shows that young RRMS patients with low disability exhibit higher remyelination capacity, which correlated with clinical disability over a 2-year follow-up.
Keyphrases
  • multiple sclerosis
  • white matter
  • deep learning
  • convolutional neural network
  • liquid chromatography
  • optical coherence tomography
  • machine learning