[Improvement of Motion Artifacts in Brain MRI Using Deep Learning by Simulation Training Data].

Journal: Nihon Hoshasen Gijutsu Gakkai zasshi
Published Date: Jan 1, 2022

Abstract

PURPOSE: To test whether deep learning can be used to effectively reduce artifacts in MR images of the brain.

Authors

  • Isao Muro
    Radiological Technology Department, Clinical Technology Division, Tokai University Hospital.
  • Syuntaro Shimizu
    Division of Radiology, Department of Clinical Technology, Tokai University Hospital.
  • Hikari Tsukamoto
    Radiological Technology Department, Clinical Technology Division, Tokai University Hospital.

Keywords

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