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• W1752393041 abstract "To gain a better understanding of the role of haemodynamic forces during the development of the cardiovascular system, a series of studies have been reported recently that describe flow fields in the vasculature of model systems. Such data sets, in particular those reporting networks at multiple stages, mark a transition in the focus from single blood vessels to large parts of vascular networks. It becomes possible to investigate the behaviour of a blood vessel in the context of its surroundings, rather than as an isolated entity. In this study, a framework is presented that facilitates the analysis of such data sets. The blood vessel data is represented as a graph, with each node connected by a vessel segment with known properties. Using this framework the pressure distribution and other parameters of interest can then be estimated. Two examples are given that make use of this scheme: (1) a method to detect and reduce measurement errors in the network and (2) a method that allows the testing of various haemorheological models. For both examples a proof-of-principle result is shown." @default.
• W1752393041 created "2016-06-24" @default.
• W1752393041 creator A5048558235 @default.
• W1752393041 date "2015-08-19" @default.
• W1752393041 modified "2023-09-25" @default.
• W1752393041 title "Exploring the potential of blood flow network data" @default.
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• W1752393041 doi "https://doi.org/10.1007/s11012-015-0255-4" @default.
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