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Image quality improvement of single-shot turbo spin-echo magnetic resonance imaging of female pelvis using a convolutional neural network.
Misaka, Tomofumi; Asato, Nobuyuki; Ono, Yukihiko; Ota, Yukino; Kobayashi, Takuma; Umehara, Kensuke; Ota, Junko; Uemura, Masanobu; Ashikaga, Ryuichiro; Ishida, Takayuki.
Afiliación
  • Misaka T; Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Suita, Osaka.
  • Asato N; Department of Radiology, Kindai University Nara Hospital, Otoda-cho, Ikoma, Nara.
  • Ono Y; Department of Radiology, Kindai University Nara Hospital, Otoda-cho, Ikoma, Nara.
  • Ota Y; Department of Radiology, Kindai University Nara Hospital, Otoda-cho, Ikoma, Nara.
  • Kobayashi T; Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Suita, Osaka.
  • Umehara K; Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Suita, Osaka.
  • Ota J; Medical Informatics Section, QST Hospital, National Institutes for Quantum and Radiological Science and Technology.
  • Uemura M; Applied MRI Research Group, Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Inage-ku, Chiba, Japan.
  • Ashikaga R; Medical Informatics Section, QST Hospital, National Institutes for Quantum and Radiological Science and Technology.
  • Ishida T; Applied MRI Research Group, Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Inage-ku, Chiba, Japan.
Medicine (Baltimore) ; 99(47): e23138, 2020 Nov 20.
Article en En | MEDLINE | ID: mdl-33217817
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pelvis / Imagen por Resonancia Magnética / Redes Neurales de la Computación / Mejoramiento de la Calidad Tipo de estudio: Observational_studies / Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Medicine (Baltimore) Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pelvis / Imagen por Resonancia Magnética / Redes Neurales de la Computación / Mejoramiento de la Calidad Tipo de estudio: Observational_studies / Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Medicine (Baltimore) Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos