A Highly Automated Computational Method for Modeling of Intracranial Aneurysm Hemodynamics

Intracranial aneurysms manifest in a vast variety of morphologies and their growth and rupture risk are subject to patient-specific conditions that are coupled with complex, non-linear effects of hemodynamics. Thus, studies that attempt to understand and correlate rupture risk to aneurysm morphology...

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Detalles Bibliográficos
Autores principales: Seo, Jung-Hee, Eslami, Parastou, Caplan, Justin, Tamargo, Rafael J., Mittal, Rajat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005827/
https://www.ncbi.nlm.nih.gov/pubmed/29946264
http://dx.doi.org/10.3389/fphys.2018.00681

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005827/
https://www.ncbi.nlm.nih.gov/pubmed/29946264
http://dx.doi.org/10.3389/fphys.2018.00681

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