A parametric geometry model of the aortic valve for subject-specific blood flow simulations using a resistive approach

Cardiac valves simulation is one of the most complex tasks in cardiovascular modeling. Fluid–structure interaction is not only highly computationally demanding but also requires knowledge of the mechanical properties of the tissue. Therefore, an alternative is to include valves as resistive flow obs...

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Bibliographic Details
Published in:Biomechanics and modeling in mechanobiology Vol. 22; no. 3; pp. 987 - 1002
Main Authors: Pase, Giorgia, Brinkhuis, Emiel, De Vries, Tanja, Kosinka, Jiří, Willems, Tineke, Bertoglio, Cristóbal
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023
Springer Nature B.V
Subjects:
Aorta
Aortic stenosis
Aortic valve
Aortic Valve - physiology
Aortic Valve Stenosis
Biological and Medical Physics
Biomedical Engineering and Bioengineering
Biophysics
Blood flow
Computed tomography
Computer Simulation
EKG
Engineering
Flow simulation
Fluid-structure interaction
Geometry
Heart valves
Hemodynamics - physiology
Humans
Mechanical properties
Models, Cardiovascular
Original Paper
Parametric statistics
Simulation
Symmetry
Task complexity
Theoretical and Applied Mechanics
Parametric model
Subject-specific
Aortic valve model
Blood flow simulation
ISSN:1617-7959, 1617-7940, 1617-7940
Online Access:Get full text
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Summary:Cardiac valves simulation is one of the most complex tasks in cardiovascular modeling. Fluid–structure interaction is not only highly computationally demanding but also requires knowledge of the mechanical properties of the tissue. Therefore, an alternative is to include valves as resistive flow obstacles, prescribing the geometry (and its possible changes) in a simple way, but, at the same time, with a geometry complex enough to reproduce both healthy and pathological configurations. In this work, we present a generalized parametric model of the aortic valve to obtain patient-specific geometries that can be included into blood flow simulations using a resistive immersed implicit surface (RIIS) approach. Numerical tests are presented for geometry generation and flow simulations in aortic stenosis patients whose parameters are extracted from ECG-gated CT images.
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ISSN:1617-7959
1617-7940
1617-7940
DOI:10.1007/s10237-023-01695-5