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Original Article

Published: 2020-08-26
Last edited: 2020-08-26




Bond Graph Model of Cerebral Circulation: Toward Clinically Feasible Systemic Blood Flow Simulations

Su, S. ORCID logo , Blanco, P. J. ORCID logo , Müller, L. O. ORCID logo , Hunter, P. J. ORCID logo , Safaei, S. ORCID logo

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To cite this Physiome article, cite the whole collection at the DOI: 10.36903/physiome.12859424, and the Primary Publication at the DOI: https://doi.org/10.3389/fphys.2018.00148.

All Physiome articles are published as a collection containing the manuscript as a pdf file and the model implementation as an omex file (which can be opened with any standard type of zip reader).


Primary Publication: Bond Graph Model of Cerebral Circulation: Toward Clinically Feasible Systemic Blood Flow Simulations. 2018, Safaei, S., Blanco, P. J., Müller, L. O., Hellevik, L. R. and Hunter, P. J.

Abstract: The primary paper Safaei et al. (2018) proposed an anatomically detailed model of the human cerebral circulation that runs faster than real-time on a desktop computer and is designed for use in clinical settings when the speed of response is important. Based on a one-dimensional formulation of the flow of an incompressible fluid in distensible vessels, a lumped parameter model was developed for 218 arterial segments. The proposed model improved simulation speed by approximately 200-fold while preserved accuracy. Bond graph formulation was used to ensure mass and energy conservation. The model predicted the pressure and flow signatures in the body.


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