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Model-based frequency-and-phase correction of 1 H MRS data with 2D linear-combination modeling.

Dunja SimicicHelge Jörn ZöllnerChristopher W Davies-JenkinsKathleen E HupfeldRichard A E EddenGeorg Oeltzschner
Published in: Magnetic resonance in medicine (2024)
Model-based FPC with 2D linear-combination modeling is feasible and has great potential to improve metabolite level estimation for conventional and dynamic MRS data, especially for low-SNR conditions, for example, long TEs or strong diffusion weighting.
Keyphrases
  • electronic health record
  • big data
  • data analysis
  • machine learning
  • artificial intelligence
  • human health