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A method to implement the reservoir-wave hypothesis using phase-contrast magnetic resonance imaging

Title: A method to implement the reservoir-wave hypothesis using phase-contrast magnetic resonance imaging
Authors: Gray, RDM
Parker, KH
Quail, MA
Taylor, AM
Biglino, G
Item Type: Journal Article
Abstract: The reservoir-wave hypothesis states that the blood pressure waveform can be usefully divided into a “reservoir pressure” related to the global compliance and resistance of the arterial system, and an “excess pressure” that depends on local conditions. The formulation of the reservoir-wave hypothesis applied to the area waveform is shown, and the analysis is applied to area and velocity data from high-resolution phase-contrast cardiovascular magnetic resonance (CMR) imaging. A validation study shows the success of the principle, with the method producing largely robust and physically reasonable parameters, and the linear relationship between flow and wave pressure seen in the traditional pressure formulation is retained. The method was successfully tested on a cohort of 20 subjects (age range: 20–74 years; 17 males). This paper: • Demonstrates the feasibility of deriving reservoir data non-invasively from CMR. • Includes a validation cohort (CMR data). • Suggests clinical applications of the method.
Issue Date: 25-Aug-2016
Date of Acceptance: 22-Aug-2016
URI: http://hdl.handle.net/10044/1/55130
DOI: https://dx.doi.org/10.1016/j.mex.2016.08.004
ISSN: 2215-0161
Publisher: Elsevier
Start Page: 508
End Page: 512
Journal / Book Title: MethodsX
Volume: 3
Copyright Statement: ©2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
Hemodynamics
Wave intensity analysis
Windkessel
Magnetic resonance imaging
Reservoir
Ventriculo-arterial coupling
Implementation of the reservoir-wave hypothesis using phase-contrast magnetic resonance imaging
Publication Status: Published
Appears in Collections:Bioengineering
Faculty of Engineering