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Deep learning-based MR-to-CT synthesis: The influence of varying gradient echo-based MR images as input channels.
Florkow, Mateusz C; Zijlstra, Frank; Willemsen, Koen; Maspero, Matteo; van den Berg, Cornelis A T; Kerkmeijer, Linda G W; Castelein, René M; Weinans, Harrie; Viergever, Max A; van Stralen, Marijn; Seevinck, Peter R.
Afiliación
  • Florkow MC; Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands.
  • Zijlstra F; Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands.
  • Willemsen K; Department of Orthopedics, University Medical Center Utrecht, Utrecht, Netherlands.
  • Maspero M; Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, Netherlands.
  • van den Berg CAT; Computational Imaging Group for MR diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands.
  • Kerkmeijer LGW; Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, Netherlands.
  • Castelein RM; Computational Imaging Group for MR diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands.
  • Weinans H; Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, Netherlands.
  • Viergever MA; Department of Orthopedics, University Medical Center Utrecht, Utrecht, Netherlands.
  • van Stralen M; Department of Orthopedics, University Medical Center Utrecht, Utrecht, Netherlands.
  • Seevinck PR; Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands.
Magn Reson Med ; 83(4): 1429-1441, 2020 04.
Article en En | MEDLINE | ID: mdl-31593328

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Aprendizaje Profundo Límite: Animals / Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Aprendizaje Profundo Límite: Animals / Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article País de afiliación: Países Bajos