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The use of Fourier-domain analyses for unwrapping phase images of low SNR.

Nan-Kuei ChenPei-Hsin Wu
Published in: Magnetic resonance in medicine (2019)
Our results demonstrate that the developed phase-unwrapping method can reduce residual phase wraps resulting from conventional procedures in critical brain regions (e.g., near the air-tissue interfaces) and should prove valuable for studies that require accurate measurements of MRI phase values, such as QSM, B0 field mapping, and temperature mapping.
Keyphrases
  • high resolution
  • magnetic resonance imaging
  • multiple sclerosis
  • high density
  • computed tomography
  • machine learning
  • convolutional neural network
  • magnetic resonance
  • resting state
  • blood brain barrier