Reducing the number of parameters in 1D arterial blood flow modeling: less is more for patient-specific simulations

Patient-specific one-dimensional (1D) blood flow modeling requires estimating model parameters from available clinical data, ideally acquired noninvasively. The larger the number of arterial segments in a distributed 1D model, the greater the number of input parameters that need to be estimated. We...

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Detalles Bibliográficos
Autores principales: Epstein, Sally, Willemet, Marie, Chowienczyk, Phil J., Alastruey, Jordi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Physiological Society 2015
Materias:
Integrative Cardiovascular Physiology and Pathophysiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4491523/
https://www.ncbi.nlm.nih.gov/pubmed/25888513
http://dx.doi.org/10.1152/ajpheart.00857.2014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4491523/
https://www.ncbi.nlm.nih.gov/pubmed/25888513
http://dx.doi.org/10.1152/ajpheart.00857.2014

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