Impact of noise reduction on radiation dose reduction potential of virtual monochromatic spectral images: Comparison of phantom images with conventional 120 kVp images using deep learning image reconstruction and hybrid iterative reconstruction.

Journal: European journal of radiology
Published Date: Feb 5, 2022

Abstract

PURPOSE: To assess the effects of deep learning image reconstruction (DLIR) and hybrid iterative reconstruction (HIR) on the image quality of virtual monochromatic spectral (VMS) images and to investigate the dose reduction potential of the VMS and conventional 120 kVp images.

Authors

  • Shota Masuda
    Office of Radiological Technology, Keio University Hospital, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan. Electronic address: shota.masuda@adst.keio.ac.jp.
  • Yoshitake Yamada
    Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan. Electronic address: yamada@rad.med.keio.ac.jp.
  • Kazuya Minamishima
    Office of Radiological Technology, Keio University Hospital, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan. Electronic address: kazuya.minamishima@adst.keio.ac.jp.
  • Yoshiki Owaki
    Office of Radiological Technology, Keio University Hospital, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan. Electronic address: yoshiki.owaki@adst.keio.ac.jp.
  • Akihisa Yamazaki
    Office of Radiological Technology, Keio University Hospital, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan. Electronic address: akihisa.yamazaki@adst.keio.ac.jp.
  • Masahiro Jinzaki
    Department of Radiology, Keio University School of Medicine, Tokyo, Japan.

Keywords

External Resources

Popular Topics
Recent Journals