Assessment of the accuracy of a Bayesian estimation algorithm for perfusion CT by using a digital phantom.

Detalles Bibliográficos
Publicado en:Neuroradiology Vol. 55; no. 10; pp. 1197 - 1204
Autores principales: Sasaki, Makoto, Kudo, Kohsuke, Boutelier, Timothé, Pautot, Fabrice, Christensen, Soren, Uwano, Ikuko, Goodwin, Jonathan, Higuchi, Satomi, Ito, Kenji, Yamashita, Fumio
Formato: diagnostic images research tables/charts Journal Article
Publicado: Springer Nature Oct2013
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        au:
          Sasaki, Makoto
          Kudo, Kohsuke
          Boutelier, Timothé
          Pautot, Fabrice
          Christensen, Soren
          Uwano, Ikuko
          Goodwin, Jonathan
          Higuchi, Satomi
          Ito, Kenji
          Yamashita, Fumio
        affil: Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, 2-1-1 Nishitokuta Yahaba 028-3694 Japan
      sug:
        subj:
          Perfusion Imaging Methods
          Tomography, X-Ray Computed Methods
          Algorithms
          Phantoms, Imaging
          Cerebrovascular Circulation Evaluation
          Quality Assessment
          Brain Mapping Methods
          Descriptive Statistics
          Data Analysis Software
          Pearson's Correlation Coefficient
          Analysis of Variance
          Funding Source
          Intraclass Correlation Coefficient
      pubtype: Academic Journal
      doctype:
        diagnostic images
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
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