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Clinical Applications of Dual-Energy CT.
Hamid, Saira; Nasir, Muhammad Umer; So, Aaron; Andrews, Gordon; Nicolaou, Savvas; Qamar, Sadia Raheez.
Afiliação
  • Hamid S; Department of Radiology, University of British Columbia Hospital, University of British Columbia, Vancouver, Canada. saira.hamid@vch.ca.
  • Nasir MU; Department of Medical Imaging, Vancouver General Hospital, University of British Columbia, Vancouver, Canada.
  • So A; Department of Medical Biophyics, Schulich School of Medicine and Dentistry Western University London, Ontario, Canada.
  • Andrews G; Department of Radiology, University of British Columbia Hospital, University of British Columbia, Vancouver, Canada.
  • Nicolaou S; Department of Medical Imaging, Vancouver General Hospital, University of British Columbia, Vancouver, Canada.
  • Qamar SR; Department of Medical Imaging, Sunnybrook Hospital, University of Toronto, Toronto, Canada.
Korean J Radiol ; 22(6): 970-982, 2021 06.
Article em En | MEDLINE | ID: mdl-33856133
Dual-energy CT (DECT) provides insights into the material properties of tissues and can differentiate between tissues with similar attenuation on conventional single-energy imaging. In the conventional CT scanner, differences in the X-ray attenuation between adjacent structures are dependent on the atomic number of the materials involved, whereas in DECT, the difference in the attenuation is dependent on both the atomic number and electron density. The basic principle of DECT is to obtain two datasets with different X-ray energy levels from the same anatomic region and material decomposition based on attenuation differences at different energy levels. In this article, we discuss the clinical applications of DECT and its potential robust improvements in performance and postprocessing capabilities.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Korean J Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Korean J Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá
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