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Denoising approach with deep learning-based reconstruction for neuromelanin-sensitive MRI: image quality and diagnostic performance.
Oshima, Sonoko; Fushimi, Yasutaka; Miyake, Kanae Kawai; Nakajima, Satoshi; Sakata, Akihiko; Okuchi, Sachi; Hinoda, Takuya; Otani, Sayo; Numamoto, Hitomi; Fujimoto, Koji; Shima, Atsushi; Nambu, Masahito; Sawamoto, Nobukatsu; Takahashi, Ryosuke; Ueno, Kentaro; Saga, Tsuneo; Nakamoto, Yuji.
Affiliation
  • Oshima S; Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Fushimi Y; Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan. yfushimi@kuhp.kyoto-u.ac.jp.
  • Miyake KK; Department of Advanced Medical Imaging Research, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Nakajima S; Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Sakata A; Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Okuchi S; Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Hinoda T; Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Otani S; Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Numamoto H; Department of Advanced Medical Imaging Research, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Fujimoto K; Department of Real World Data Research and Development, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Shima A; Department of Regenerative Systems Neuroscience, Human Brain Research Center, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Nambu M; MRI Systems Division, Canon Medical Systems Corporation, 1385 Shimoishigami, Otawara-Shi, Tochigi, 324-0036, Japan.
  • Sawamoto N; Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, 53 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Takahashi R; Department of Neurology, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Ueno K; Department of Biomedical Statistics and Bioinformatics, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Saga T; Department of Advanced Medical Imaging Research, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Nakamoto Y; Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
Jpn J Radiol ; 41(11): 1216-1225, 2023 Nov.
Article in En | MEDLINE | ID: mdl-37256470
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Parkinson Disease / Deep Learning Type of study: Diagnostic_studies / Guideline Limits: Humans Language: En Journal: Jpn J Radiol Journal subject: DIAGNOSTICO POR IMAGEM / RADIOLOGIA / RADIOTERAPIA Year: 2023 Document type: Article Affiliation country: Japan Country of publication: Japan
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Parkinson Disease / Deep Learning Type of study: Diagnostic_studies / Guideline Limits: Humans Language: En Journal: Jpn J Radiol Journal subject: DIAGNOSTICO POR IMAGEM / RADIOLOGIA / RADIOTERAPIA Year: 2023 Document type: Article Affiliation country: Japan Country of publication: Japan