Ultrafast lumbar spine MRI protocol using deep learning-based reconstruction: diagnostic equivalence to a conventional protocol.

Fujiwara, Masahiro; Kashiwagi, Nobuo; Matsuo, Chisato; Watanabe, Hitoshi; Kassai, Yoshimori; Nakamoto, Atsushi; Tomiyama, Noriyuki

Fujiwara, Masahiro; Kashiwagi, Nobuo; Matsuo, Chisato; Watanabe, Hitoshi; Kassai, Yoshimori; Nakamoto, Atsushi; Tomiyama, Noriyuki.

Afiliação

Fujiwara M; Department of Diagnostic Radiology, Osaka Medical and Pharmaceutical University, Osaka, Japan.
Kashiwagi N; Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, ã541-8567 3-1-69 Otemae, Chuo-ku, Osaka, 541-8567, Japan. nobuo.kashiwagi@oici.jp.
Matsuo C; Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Osaka, Japan.
Watanabe H; Department of Radiology, Yukoukai General Hospital, Osaka, Japan.
Kassai Y; Canon Medical Systems Corporation, Tochigi, Japan.
Nakamoto A; Department of Future Diagnostic Radiology, Osaka University Graduate School of Medicine, Osaka, Japan.
Tomiyama N; Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Osaka, Japan.

Skeletal Radiol ; 52(2): 233-241, 2023 Feb.

Article em En | MEDLINE | ID: mdl-36181535

Assuntos

Aprendizado Profundo; Humanos; Vértebras Lombares/diagnóstico por imagem; Vértebras Lombares/patologia; Região Lombossacral; Imageamento por Ressonância Magnética/métodos; Razão Sinal-Ruído

Palavras-chave

Deep learning; Diagnostic performance; Fast imaging; Lumbar spine; Magnetic resonance imaging

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Guideline Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google