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A multi-model framework to estimate perfusion parameters using contrast-enhanced ultrasound imaging.
Akhbardeh, Alireza; Sagreiya, Hersh; El Kaffas, Ahmed; Willmann, Jürgen K; Rubin, Daniel L.
Affiliation
  • Akhbardeh A; Department of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
  • Sagreiya H; Department of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
  • El Kaffas A; Department of Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA.
  • Willmann JK; Department of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
  • Rubin DL; Department of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Med Phys ; 46(2): 590-600, 2019 Feb.
Article in En | MEDLINE | ID: mdl-30554408
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Circulation / Image Processing, Computer-Assisted / Contrast Media Type of study: Diagnostic_studies Limits: Animals Language: En Journal: Med Phys Year: 2019 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Circulation / Image Processing, Computer-Assisted / Contrast Media Type of study: Diagnostic_studies Limits: Animals Language: En Journal: Med Phys Year: 2019 Document type: Article Affiliation country: Country of publication: