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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...
Autores principales: | Epstein, Sally, Willemet, Marie, Chowienczyk, Phil J., Alastruey, Jordi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Physiological Society
2015
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Materias: | |
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 |
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