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

Sasaki, Makoto; Kudo, Kohsuke; Boutelier, Timothé; Pautot, Fabrice; Christensen, Soren; Uwano, Ikuko; Goodwin, Jonathan; Higuchi, Satomi; Ito, Kenji; Yamashita, Fumio

Sasaki, Makoto; Kudo, Kohsuke; Boutelier, Timothé; Pautot, Fabrice; Christensen, Soren; Uwano, Ikuko; Goodwin, Jonathan; Higuchi, Satomi; Ito, Kenji; Yamashita, Fumio.

Affiliation

Sasaki M; Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, 2-1-1 Nishitokuta, Yahaba, 028-3694, Japan, masasaki@iwate-med.ac.jp.

Neuroradiology ; 55(10): 1197-203, 2013 Oct.

Article in En | MEDLINE | ID: mdl-23852431

Subject(s)

Algorithms; Blood Volume/physiology; Cerebral Angiography/methods; Cerebral Arteries/physiology; Cerebrovascular Circulation/physiology; Pattern Recognition, Automated/methods; Tomography, X-Ray Computed/methods; Artificial Intelligence; Bayes Theorem; Blood Flow Velocity/physiology; Cerebral Arteries/diagnostic imaging; Computer Simulation; Humans; Models, Cardiovascular; Models, Neurological; Phantoms, Imaging; Radiographic Image Enhancement/methods; Radiographic Image Interpretation, Computer-Assisted/methods; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Volume / Algorithms / Pattern Recognition, Automated / Cerebral Angiography / Tomography, X-Ray Computed / Cerebral Arteries / Cerebrovascular Circulation Type of study: Diagnostic_studies / Evaluation_studies / Prognostic_studies Limits: Humans Language: En Journal: Neuroradiology Year: 2013 Type: Article

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