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Author Notes:

For correspondence: Wei Sun, Ph.D., Tissue Mechanics Laboratory, 206 Technology Enterprise Park, Georgia Institute of Technology, 387 Technology Circle, Atlanta, GA 30313-2412, Phone: (404) 385-1245, wei.sun@bme.gatech.edu.

Conflict of Interest: Authors Andrés Caballero, Wenbin Mao, Liang Liang, John Oshinski, Charles Primiano, Raymond McKay, Susheel Kodali and Wei Sun declare that they have no conflict of interest.

Subjects:

Research Funding:

This work was supported in part by the NIH HL104080 and HL127570 grants.

Andrés Caballero is in part supported by a Fulbright-Colciencias fellowship.

Wenbin Mao and Liang Liang are in part supported by American Heart Association post-doctoral fellowships, 15POST25910002 and 16POST30210003, respectively.

John Oshinski receives research grant support from Siemens Medical Solutions.

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Technology
  • Cardiac & Cardiovascular Systems
  • Engineering, Biomedical
  • Cardiovascular System & Cardiology
  • Engineering
  • Left ventricle
  • Smoothed particle hydrodynamics
  • Hemodynamics
  • Computational fluid dynamics
  • Cardiac magnetic resonance
  • COMPUTATIONAL FLUID-DYNAMICS
  • VIVO MRI DATA
  • MAGNETIC-RESONANCE
  • LEFT-HEART
  • NUMERICAL-SIMULATION
  • UNSTEADY-FLOW
  • VISCOUS FLOWS
  • WHOLE HEART
  • SPH METHOD
  • 4D FLOW

Modeling Left Ventricular Blood Flow Using Smoothed Particle Hydrodynamics

Tools:

Journal Title:

Cardiovascular Engineering and Technology

Volume:

Volume 8, Number 4

Publisher:

, Pages 465-479

Type of Work:

Article | Post-print: After Peer Review

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.

Copyright information:

© 2017, Biomedical Engineering Society.

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