A Bayesian approach to blood rheological uncertainties in aortic hemodynamics.

Ranftl, Sascha; Müller, Thomas Stephan; Windberger, Ursula; Brenn, Günter; von der Linden, Wolfgang

Ranftl, Sascha; Müller, Thomas Stephan; Windberger, Ursula; Brenn, Günter; von der Linden, Wolfgang.

Afiliação

Ranftl S; Institute of Theoretical and Computational Physics, Graz University of Technology, Graz, Austria.
Müller TS; Graz Center of Computational Engineering, Graz University of Technology, Graz, Austria.
Windberger U; Graz Center of Computational Engineering, Graz University of Technology, Graz, Austria.
Brenn G; Institute of Fluid Mechanics and Heat Transfer, Graz University of Technology, Graz, Austria.
von der Linden W; Center for Biomedical Research, Medical University of Vienna, Vienna, Austria.

Int J Numer Method Biomed Eng ; 39(4): e3576, 2023 04.

Article em En | MEDLINE | ID: mdl-35099851

Assuntos

Aorta; Hemodinâmica; Humanos; Teorema de Bayes; Incerteza; Reologia; Estresse Mecânico; Modelos Cardiovasculares; Velocidade do Fluxo Sanguíneo; Simulação por Computador

Palavras-chave

Bayesian probability theory; aortic hemodynamics; blood rheology; computational fluid dynamics; non-Newtonian fluids; uncertainty quantification

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aorta / Hemodinâmica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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