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Cited by 285

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

E XPERIMENTAL AND C OMPUTATIONAL M ETHODS IN C ARDIOVASCULAR F LUID M ECHANICS

Taylor, Charles A., Draney, Mary T.·2004·Annual Review of Fluid Mechanics

Abstract

▪ Abstract The characterization of blood flow is important for understanding the function of the cardiovascular system under normal and diseased conditions, designing cardiovascular devices, and diagnosing and treating congenital and acquired cardiovascular disease. Experimental methods, especially magnetic resonance imaging techniques can be used to noninvasively quantify blood flow for diagnosing cardiovascular disease, researching disease mechanisms, and validating assumptions and predictions of mathematical models. Computational methods can be used to simulate blood flow and vessel dynamics, test hypotheses of disease formation under controlled conditions, and evaluate devices that have not yet been built and treatments that have not yet been implemented. In this article we review experimental and computational methods for quantifying blood flow velocity and pressure fields in human arteries. We place particular emphasis on providing an introduction to the physics and applications of magnetic resonance imaging, and surveying lumped parameter, one-dimensional, and three-dimensional numerical methods used to model blood flow.

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Crossref · 10.1146/annurev.fluid.36.050802.121944

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Metadata

Authors
Taylor, C. A., & Draney, M. T.
Venue
Annual Review of Fluid Mechanics
Published
2004-01-21
Volume
36
Issue
1
Pages
197-231
ISSN
  • 0066-4189 (ISSN-L)
  • 1545-4479
OpenAlex
W2146601191
Cited by
285
References
88
FWCI
0.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: E XPERIMENTAL AND C OMPUTATIONAL M ETHODS IN C ARDIOVASCULAR F LUID M ECHANICS. https://app.cochat.ai/papers/10.1146/annurev.fluid.36.050802.121944
The paper
Taylor, C. A., & Draney, M. T. (2004). E XPERIMENTAL AND C OMPUTATIONAL M ETHODS IN C ARDIOVASCULAR F LUID M ECHANICS. Annual Review of Fluid Mechanics. https://doi.org/10.1146/annurev.fluid.36.050802.121944

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.