Automated segmentation of biventricular contours in tissue phase mapping using deep learning.

Shen, Daming; Pathrose, Ashitha; Sarnari, Roberto; Blake, Allison; Berhane, Haben; Baraboo, Justin J; Carr, James C; Markl, Michael; Kim, Daniel

Shen, Daming; Pathrose, Ashitha; Sarnari, Roberto; Blake, Allison; Berhane, Haben; Baraboo, Justin J; Carr, James C; Markl, Michael; Kim, Daniel.

Afiliação

Shen D; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Pathrose A; Biomedical Engineering, Northwestern University McCormick School of Engineering and Applied Science, Evanston, Illinois, USA.
Sarnari R; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Blake A; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Berhane H; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Baraboo JJ; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Carr JC; Biomedical Engineering, Northwestern University McCormick School of Engineering and Applied Science, Evanston, Illinois, USA.
Markl M; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Kim D; Biomedical Engineering, Northwestern University McCormick School of Engineering and Applied Science, Evanston, Illinois, USA.

NMR Biomed ; 34(12): e4606, 2021 12.

Article em En | MEDLINE | ID: mdl-34476863

Assuntos

Aprendizado Profundo; Ventrículos do Coração/diagnóstico por imagem; Imagem Cinética por Ressonância Magnética/métodos; Adulto; Idoso; Feminino; Transplante de Coração; Humanos; Masculino; Pessoa de Meia-Idade

Palavras-chave

deep learning (DL); image segmentation; multi-channel 3D dense U-Net; tissue phase mapping (TPM)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imagem Cinética por Ressonância Magnética / Aprendizado Profundo / Ventrículos do Coração Tipo de estudo: Guideline Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: NMR Biomed Assunto da revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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