Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Detecting Aortic Valve Anomaly From Induced Murmurs: Insights From Computational Hemodynamic Models
por: Bailoor, Shantanu, et al.
Publicado: (2021) -
Computational Modeling of Drug Dissolution in the Human Stomach
por: Seo, Jung Hee, et al.
Publicado: (2022) -
Computational Hemodynamic Modeling of Arterial Aneurysms: A Mini-Review
por: Lipp, Sarah N., et al.
Publicado: (2020) -
An Automated Workflow for Hemodynamic Computations in Cerebral Aneurysms
por: Nita, Cosmin-Ioan, et al.
Publicado: (2020) -
Intercorrelations of morphology with hemodynamics in intracranial aneurysms in computational fluid dynamics
por: Qiu, Tianlun, et al.
Publicado: (2017)