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Accelerating 3D MTC-BOOST in patients with congenital heart disease using a joint multi-scale variational neural network reconstruction.
Fotaki, Anastasia; Fuin, Niccolo; Nordio, Giovanna; Velasco Jimeno, Carlos; Qi, Haikun; Emmanuel, Yaso; Pushparajah, Kuberan; Botnar, René M; Prieto, Claudia.
Afiliação
  • Fotaki A; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom. Electronic address: Anastasia.fotaki@kcl.ac.uk.
  • Fuin N; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Nordio G; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Velasco Jimeno C; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Qi H; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Emmanuel Y; Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Pushparajah K; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Botnar RM; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Prieto C; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile.
Magn Reson Imaging ; 92: 120-132, 2022 10.
Article em En | MEDLINE | ID: mdl-35772584
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento Tridimensional / Cardiopatias Congênitas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Magn Reson Imaging Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento Tridimensional / Cardiopatias Congênitas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Magn Reson Imaging Ano de publicação: 2022 Tipo de documento: Article