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Modeling the cerebral blood flow using a linear system approach
Author(s) -
Reichold Johannes,
Weber Bruno,
Buck Alfred,
Jenny Patrick
Publication year - 2007
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.200700789
Subject(s) - cerebral blood flow , curvature , magnetic resonance imaging , blood flow , cerebral circulation , computer science , cardiology , medicine , chemistry , biomedical engineering , mathematics , radiology , geometry
Cerebral blood flow (CBF) can be defined as the rate of delivery of arterial (nutritive) blood to the capillary beds of a particular mass of brain tissue. CBF assumes a fundamental role in homeostasis and neural activity as it regulates the supply of glucose and oxygen. A linear systems approach is employed to model CBF in a realistic vascular network. High‐resolution 3D data of the cerebral angioarchitecture in animal models acquired by Weber et al. [1] are utilized to create an analogous unstructured computational grid. Pressure boundary conditions are set at the large arteries and veins. Vessel properties such as diameter and curvature are represented by a corresponding transmissibility value. Vasodilation during neural activity or partial occlusion in cerebrovascular impairment are examples of localized changes in vessel attributes. It is investigated how these local alterations affect the global CBF. Among others, insights gained from the simulations are valuable for the correct interpretation of data acquired by magnetic resonance imaging modalities. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)