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High-resolution Diffusion-weighted Imaging of the Prostate Using Multiplexed Sensitivity-encoding: Comparison with the Conventional and Reduced Field-of-view Techniques.
Nakamoto, Atsushi; Onishi, Hiromitsu; Tsuboyama, Takahiro; Fukui, Hideyuki; Ota, Takashi; Yano, Keigo; Kiso, Kengo; Honda, Toru; Tarewaki, Hiroyuki; Koyama, Yoshihiro; Tatsumi, Mitsuaki; Tomiyama, Noriyuki.
Afiliação
  • Nakamoto A; Department of Future Diagnostic Radiology, Osaka University Graduate School of Medicine.
  • Onishi H; Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine.
  • Tsuboyama T; Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine.
  • Fukui H; Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine.
  • Ota T; Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine.
  • Yano K; Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine.
  • Kiso K; Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine.
  • Honda T; Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine.
  • Tarewaki H; Division of Radiology, Department of Medical Technology, Osaka University Hospital.
  • Koyama Y; Division of Radiology, Department of Medical Technology, Osaka University Hospital.
  • Tatsumi M; Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine.
  • Tomiyama N; Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine.
Magn Reson Med Sci ; 2023 Oct 28.
Article em En | MEDLINE | ID: mdl-37899224
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article