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dc.contributor.author
Schmid, Franca
dc.contributor.supervisor
Jenny, Patrick
dc.contributor.supervisor
Weber, Bruno
dc.date.accessioned
2017-11-17T09:12:44Z
dc.date.available
2017-10-23T13:44:59Z
dc.date.available
2017-10-25T08:15:52Z
dc.date.available
2017-10-25T09:50:16Z
dc.date.available
2017-11-16T17:33:20Z
dc.date.available
2017-11-17T09:12:44Z
dc.date.issued
2017
dc.identifier.uri
http://hdl.handle.net/20.500.11850/199362
dc.identifier.doi
10.3929/ethz-b-000199362
dc.description.abstract
The brain is vital for every human being and consequently its functioning is a highly relevant research topic. Furthermore, it is one of the organs with the highest energy demand in the human body. To be more precise 25% of the body’s energy is consumed in the brain. This is a remarkable amount, if we keep in mind that the brain makes up for only 2% of the whole body weight. For the brain’s functioning a sustained supply of nutrients is essential. Nonetheless, the brain’s energy storage capabilities are limited and to deliver sufficient nutrients a robust perfusion with blood is crucial. Additionally, the energy demand of different brain areas is fluctuating in response to higher neuronal activity. It is well-established that the cortical vasculature is able to adapt to those changes and to locally up-regulate blood flow. However, the precise regulation mechanisms are not yet fully understood. The aim of this thesis is to improve our understanding of cerebral blood flow, its regulation as well as the underlying cortical vasculature. For this purpose a numerical framework has been developed, which simulates blood flow in realistic microvascular networks. Our approach has the specific feature that it tracks individual red blood cells and thus is a close representation of blood flow in vivo. We demonstrate that this aspect is crucial, because the red blood cell distribution strongly influences the flow field and vice versa. Our investigations are performed in realistic microvascular networks from the mouse parietal cortex. In order to improve our understanding of the flow and pressure field various network and flow characteristics are computed. Our analysis focuses on layer-specific characteristics and differences between vessel types. Moreover, the impact of vasodilations on the flow field are studied. In summary, we demonstrate how our numerical framework can be applied to perform representative simulations in realistic microvascular networks. We reveal important features of the flow in the microvasculature and point towards relevant topics for future research.
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Red blood cell
en_US
dc.subject
Blood flow modelin
en_US
dc.subject
Hemodynamics
en_US
dc.subject
Neurovascular coupling
en_US
dc.subject
Microcirculation
en_US
dc.subject
Computational Fluidy Dynamics
en_US
dc.subject
Microvascular networks
en_US
dc.subject
Cortical vasculature
en_US
dc.title
Cerebral Blood Flow Modeling with Discrete Red Blood Cell Tracking
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.title.subtitle
Analyzing Microvascular Networks and their Perfusion
en_US
ethz.size
174 p.
en_US
ethz.identifier.diss
24406
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02628 - Institut für Fluiddynamik / Institute of Fluid Dynamics::03644 - Jenny, Patrick / Jenny, Patrick
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02628 - Institut für Fluiddynamik / Institute of Fluid Dynamics::03644 - Jenny, Patrick / Jenny, Patrick
en_US
ethz.date.deposited
2017-10-23T13:45:00Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-11-17T09:12:59Z
ethz.rosetta.lastUpdated
2017-11-17T09:12:59Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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