Modeling Left Ventricular Blood Flow Using Smoothed Particle Hydrodynamics

Andrés Caballero, Wenbin Mao, Liang Liang, John Oshinski, Charles Primiano, Raymond McKay, Susheel Kodali, Wei Sun

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)465-479
Number of pages15
JournalCardiovascular Engineering and Technology
Volume8
Issue number4
DOIs
StatePublished - Dec 1 2017
Externally publishedYes

Keywords

  • Cardiac magnetic resonance
  • Computational fluid dynamics
  • Hemodynamics
  • Left ventricle
  • Smoothed particle hydrodynamics

ASJC Scopus subject areas

  • Biomedical Engineering
  • Cardiology and Cardiovascular Medicine

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