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Quantitative susceptibility map reconstruction using annihilating filter-based low-rank Hankel matrix approach.

Hyun-Seo AhnSung-Hong ParkJong Chul Ye
Published in: Magnetic resonance in medicine (2019)
The suggested ALOHA-QSM algorithm successfully solves the 3-dimensional QSM dipole inversion problem using k-space low rank property with no anatomical constraint. ALOHA-QSM can provide detailed brain structures and accurate susceptibility values with no streaking artifacts.
Keyphrases
  • high resolution
  • machine learning
  • deep learning
  • resting state
  • magnetic resonance imaging
  • computed tomography
  • multiple sclerosis
  • neural network