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Generative adversarial network-based post-processed image super-resolution technology for accelerating brain MRI: comparison with compressed sensing.

Wataru UekiTatsuya NishiiKensuke UmeharaJunko OtaSatoshi HiguchiYasutoshi OhtaYasuhiro NagaiKeizo MurakawaTakayuki IshidaTetsuya Fukuda
Published in: Acta radiologica (Stockholm, Sweden : 1987) (2022)
The GAN-based SR outperformed CS in image similarity with 2D GRE for MRI acceleration. In addition, CS was more advantageous in 3D GRE than SR.
Keyphrases
  • contrast enhanced
  • magnetic resonance imaging
  • deep learning
  • diffusion weighted imaging
  • white matter
  • computed tomography
  • resting state
  • magnetic resonance
  • multiple sclerosis
  • blood brain barrier
  • brain injury