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Usefulness of deep learning-based noise reduction for 1.5 T MRI brain images.
Tajima, T; Akai, H; Yasaka, K; Kunimatsu, A; Yamashita, Y; Akahane, M; Yoshioka, N; Abe, O; Ohtomo, K; Kiryu, S.
Affiliation
  • Tajima T; Department of Radiology, International University of Health and Welfare Mita Hospital, 1-4-3 Mita, Minato-ku, Tokyo, 108-8329, Japan; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda Narita, Chiba 286-0124, Japan.
  • Akai H; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda Narita, Chiba 286-0124, Japan; Department of Radiology, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.
  • Yasaka K; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda Narita, Chiba 286-0124, Japan; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
  • Kunimatsu A; Department of Radiology, International University of Health and Welfare Mita Hospital, 1-4-3 Mita, Minato-ku, Tokyo, 108-8329, Japan.
  • Yamashita Y; Canon Medical Systems Corporation, MRI Sales Department, MRI Clinical Strategy Group, 70-1, Yanagi-cho, Saiwai-ku, Kawasaki-shi, Kanagawa 212-0015, Japan.
  • Akahane M; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda Narita, Chiba 286-0124, Japan.
  • Yoshioka N; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda Narita, Chiba 286-0124, Japan.
  • Abe O; Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
  • Ohtomo K; International University of Health and Welfare, 2600-1 Kitakanamaru, Otawara, Tochigi, 324-8501, Japan.
  • Kiryu S; Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda Narita, Chiba 286-0124, Japan. Electronic address: kiryu-tky@umin.ac.jp.
Clin Radiol ; 78(1): e13-e21, 2023 01.
Article in En | MEDLINE | ID: mdl-36116967
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Neoplasms / Deep Learning Type of study: Qualitative_research Limits: Humans Language: En Journal: Clin Radiol Year: 2023 Document type: Article Affiliation country: Japan Country of publication: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Neoplasms / Deep Learning Type of study: Qualitative_research Limits: Humans Language: En Journal: Clin Radiol Year: 2023 Document type: Article Affiliation country: Japan Country of publication: United kingdom