Modeling Left Ventricular Blood Flow Using Smoothed Particle Hydrodynamics

Modeling Left Ventricular Blood Flow Using Smoothed Particle Hydrodynamics This study aims to investigate the capability of smoothed particle hydrodynamics (SPH), a fully Lagrangian mesh-free method, to simulate the bulk blood flow dynamics in two realistic left ventricular (LV) models. Three dimensional geometries and motion of the LV, proximal left atrium and aortic root are extracted from cardiac magnetic resonance imaging and multi-slice computed tomography imaging data. SPH simulation results are analyzed and compared with those obtained using a traditional finite volume-based numerical method, and to in vivo phase contrast magnetic resonance imaging and echocardiography data, in terms of the large-scale blood flow phenomena usually clinically measured. A quantitative comparison of the velocity fields and global flow parameters between the in silico models and the in vivo data shows a reasonable agreement, given the inherent uncertainties and limitations in the modeling and imaging techniques. The results indicate the capability of SPH as a promising tool for predicting clinically relevant large-scale LV flow information. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Cardiovascular Engineering and Technology Springer Journals

Modeling Left Ventricular Blood Flow Using Smoothed Particle Hydrodynamics

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Publisher
Springer US
Copyright
Copyright © 2017 by Biomedical Engineering Society
Subject
Engineering; Biomedical Engineering; Cardiology; Biomedicine, general
ISSN
1869-408X
eISSN
1869-4098
D.O.I.
10.1007/s13239-017-0324-z
Publisher site
See Article on Publisher Site

Abstract

This study aims to investigate the capability of smoothed particle hydrodynamics (SPH), a fully Lagrangian mesh-free method, to simulate the bulk blood flow dynamics in two realistic left ventricular (LV) models. Three dimensional geometries and motion of the LV, proximal left atrium and aortic root are extracted from cardiac magnetic resonance imaging and multi-slice computed tomography imaging data. SPH simulation results are analyzed and compared with those obtained using a traditional finite volume-based numerical method, and to in vivo phase contrast magnetic resonance imaging and echocardiography data, in terms of the large-scale blood flow phenomena usually clinically measured. A quantitative comparison of the velocity fields and global flow parameters between the in silico models and the in vivo data shows a reasonable agreement, given the inherent uncertainties and limitations in the modeling and imaging techniques. The results indicate the capability of SPH as a promising tool for predicting clinically relevant large-scale LV flow information.

Journal

Cardiovascular Engineering and TechnologySpringer Journals

Published: Jul 25, 2017

References

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