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Assessment of Image Quality of Coronary Computed Tomography Angiography in Obese Patients by Comparing Deep Learning Image Reconstruction With Adaptive Statistical Iterative Reconstruction Veo.
Wang, Hongwei; Wang, Rui; Li, Ying; Zhou, Zhen; Gao, Yifeng; Bo, Kairui; Yu, Min; Sun, Zhonghua; Xu, Lei.
Afiliación
  • Wang H; From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University.
  • Wang R; From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University.
  • Li Y; From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University.
  • Zhou Z; From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University.
  • Gao Y; From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University.
  • Bo K; From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University.
  • Yu M; CT Laboratory, GE Healthcare China, Beijing, China.
  • Sun Z; Department of Medical Radiation Sciences, Curtin University, Perth, Western Australia, Australia.
  • Xu L; From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University.
J Comput Assist Tomogr ; 46(1): 34-40, 2022.
Article en En | MEDLINE | ID: mdl-35099134
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interpretación de Imagen Radiográfica Asistida por Computador / Angiografía Coronaria / Vasos Coronarios / Angiografía por Tomografía Computarizada / Aprendizaje Profundo / Obesidad Tipo de estudio: Observational_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Comput Assist Tomogr Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interpretación de Imagen Radiográfica Asistida por Computador / Angiografía Coronaria / Vasos Coronarios / Angiografía por Tomografía Computarizada / Aprendizaje Profundo / Obesidad Tipo de estudio: Observational_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Comput Assist Tomogr Año: 2022 Tipo del documento: Article