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Spinet-QSM: model-based deep learning with schatten p-norm regularization for improved quantitative susceptibility mapping.

Vaddadi VenkateshRaji Susan MathewPhaneendra K Yalavarthy
Published in: Magma (New York, N.Y.) (2024)
The proposed SpiNet-QSM showed a consistent improvement of at least 5% in terms of the high-frequency error norm (HFEN) and normalized root mean squared error (NRMSE) over other QSM reconstruction methods with limited training data.
Keyphrases
  • high frequency
  • transcranial magnetic stimulation
  • deep learning
  • high resolution
  • electronic health record
  • big data
  • artificial intelligence
  • machine learning
  • virtual reality