Deep Learning-Driven Transformation: A Novel Approach for Mitigating Batch Effects in Diffusion MRI Beyond Traditional Harmonization.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Oct 25, 2023

Abstract

BACKGROUND: "Batch effect" in MR images, due to vendor-specific features, MR machine generations, and imaging parameters, challenges image quality and hinders deep learning (DL) model generalizability.

Authors

  • Akihiko Wada
  • Toshiaki Akashi
  • Akifumi Hagiwara
    Department of Radiology, Juntendo University School of Medicine.
  • Mitsuo Nishizawa
    Department of Radiology, Osaka Medical College, Takatsuki, Osaka, Japan.
  • Keigo Shimoji
  • Junko Kikuta
    Department of Radiology, Juntendo University School of Medicine.
  • Tomoko Maekawa
    Department of Radiology, Juntendo University School of Medicine.
  • Katsuhiro Sano
    Department of Radiology, Juntendo University School of Medicine.
  • Koji Kamagata
  • Atsushi Nakanishi
    Department of Radiology, Juntendo University School of Medicine.
  • Shigeki Aoki

Keywords

External Resources

Popular Topics
Recent Journals