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Evaluation of moyamoya disease in CT angiography using ultra-high-resolution computed tomography: Application of deep learning reconstruction.
Fukushima, Yasuhiro; Fushimi, Yasutaka; Funaki, Takeshi; Sakata, Akihiko; Hinoda, Takuya; Nakajima, Satoshi; Sakamoto, Ryo; Yoshida, Kazumichi; Miyamoto, Susumu; Nakamoto, Yuji.
Afiliação
  • Fukushima Y; Division of Clinical Radiology Service, Kyoto University Hospital, 54 Kawaharacho, Shogoin, Sakyo-ku Kyoto 606-8507, Japan.
  • Fushimi Y; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku Kyoto 606-8507, Japan. Electronic address: yfushimi@kuhp.kyoto-u.ac.jp.
  • Funaki T; Departments of Neurosurgery, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku Kyoto 606-8507, Japan.
  • Sakata A; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku Kyoto 606-8507, Japan.
  • Hinoda T; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku Kyoto 606-8507, Japan.
  • Nakajima S; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku Kyoto 606-8507, Japan.
  • Sakamoto R; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku Kyoto 606-8507, Japan.
  • Yoshida K; Departments of Neurosurgery, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku Kyoto 606-8507, Japan.
  • Miyamoto S; Departments of Neurosurgery, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku Kyoto 606-8507, Japan.
  • Nakamoto Y; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku Kyoto 606-8507, Japan.
Eur J Radiol ; 151: 110294, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35427840
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Doença de Moyamoya Tipo de estudo: Observational_studies / Qualitative_research Limite: Humans Idioma: En Revista: Eur J Radiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Doença de Moyamoya Tipo de estudo: Observational_studies / Qualitative_research Limite: Humans Idioma: En Revista: Eur J Radiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão