Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers.

Journal: Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
Published Date: Sep 4, 2019

Abstract

PURPOSE: To test whether our proposed denoising approach with deep learning-based reconstruction (dDLR) can effectively denoise brain MR images.

Authors

  • Masafumi Kidoh
    Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, Honjo 1-1-1, Kumamoto 860-8556, Japan (T.N., N.Y., N.K., Y.N., H.U., M.K., S.O., T.H.).
  • Kensuke Shinoda
    MRI Systems Division, Canon Medical Systems Corporation.
  • Mika Kitajima
    Department of Diagnostic Radiology, Graduate School of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuoku, Kumamoto, 860-8556, Japan. Electronic address: mkitaji@kumamoto-u.ac.jp.
  • Kenzo Isogawa
    Corporate Research and Development Center, Toshiba Corporation.
  • Masahito Nambu
    MRI Systems Division, Canon Medical Systems Corporation.
  • Hiroyuki Uetani
    Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, Honjo 1-1-1, Kumamoto 860-8556, Japan (T.N., N.Y., N.K., Y.N., H.U., M.K., S.O., T.H.).
  • Kosuke Morita
    Department of Radiology, Kumamoto University Hospital, Kumamoto.
  • Takeshi Nakaura
    Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, Honjo 1-1-1, Kumamoto 860-8556, Japan (T.N., N.Y., N.K., Y.N., H.U., M.K., S.O., T.H.). Electronic address: kff00712@nifty.com.
  • Machiko Tateishi
    Department of Diagnostic Radiology, Graduate School of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuoku, Kumamoto, 860-8556, Japan. Electronic address: mtateishi_kennnobe@yahoo.co.jp.
  • Yuichi Yamashita
    MRI Systems Division, Canon Medical Systems Corporation.
  • Yasuyuki Yamashita
    Department of Diagnostic Radiology, Graduate School of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuoku, Kumamoto, 860-8556, Japan. Electronic address: yama@kumamoto-u.ac.jp.

Keywords

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